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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. 6-RES-JB
    11. 21844
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sed
    -0.76
    uum
    -0.69
     sheet
    -0.69
    ouses
    -0.67
     condos
    -0.66
    uras
    -0.66
     coma
    -0.65
     dormant
    -0.65
     Tide
    -0.64
    ppings
    -0.62
    POSITIVE LOGITS
    radio
    0.73
     Correspond
    0.73
     Investigative
    0.73
     Insider
    0.73
    INESS
    0.72
     Jonah
    0.71
    Radio
    0.70
    Ãį
    0.69
     affiliate
    0.68
    rehens
    0.68
    Activations Density 0.099%

    No Known Activations