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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. 11697
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    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    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
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    Negative Logits
    ĸļ
    -0.76
     crest
    -0.64
     envelope
    -0.63
     antis
    -0.62
     fancy
    -0.60
    FORMATION
    -0.60
     precursor
    -0.58
     fictitious
    -0.58
     novelty
    -0.58
    Âł
    -0.57
    POSITIVE LOGITS
    ansky
    1.00
    ich
    0.97
    inski
    0.94
    ault
    0.94
    zynski
    0.89
    anski
    0.89
    iak
    0.87
    enberg
    0.85
    oni
    0.85
    meier
    0.85
    Activations Density 0.280%

    No Known Activations