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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. 5061
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    end punctuation marks that indicate the conclusion of statements

    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
     coerc
    -0.74
    gettable
    -0.73
     therap
    -0.70
    entimes
    -0.65
     neighb
    -0.65
    asionally
    -0.64
    otte
    -0.64
    anooga
    -0.63
    ambling
    -0.63
     overloaded
    -0.63
    POSITIVE LOGITS
     âĢķ
    0.96
     Said
    0.89
    ↵
    0.88
     –
    0.87
     -
    0.81
     Translation
    0.77
     Source
    0.76
    <|endoftext|>
    0.76
    ↵↵
    0.75
     ~
    0.74
    Activations Density 0.112%

    No Known Activations