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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. 9-RES-JB
    11. 9136
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    Explanations

    quotations from individuals

    oai_token-act-pair · gpt-3.5-turbo

    statements and quotes from public figures or officials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    £
    -0.74
     Thatcher
    -0.70
     envis
    -0.68
     £
    -0.67
     civilisation
    -0.65
    otin
    -0.63
     mould
    -0.63
    colour
    -0.63
    ocaust
    -0.62
     blackmail
    -0.61
    POSITIVE LOGITS
     POLITICO
    0.70
     flanked
    0.69
     Interstate
    0.63
     Cincinnati
    0.61
     midday
    0.61
    outheastern
    0.60
    ople
    0.60
     STAT
    0.58
     CNBC
    0.58
     Associated
    0.58
    Activations Density 0.521%

    No Known Activations