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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 16644
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    Explanations

    proper nouns, possibly names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    recurring single letters or short sequences that indicate significant entities or subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    «ĺ
    -0.70
     Delicious
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     comrade
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    staking
    -0.61
    cffffcc
    -0.59
    pmwiki
    -0.57
    asar
    -0.56
    GBT
    -0.56
     behav
    -0.56
    Listen
    -0.55
    POSITIVE LOGITS
    ovych
    0.79
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    oslav
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    amide
    0.72
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    0.70
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    0.70
    dal
    0.69
    sis
    0.67
    osate
    0.65
    Activations Density 0.195%

    No Known Activations