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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. 3-RES-JB
    11. 12498
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    Explanations

    the word "neurons" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to neurons and their relationship to brain functions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mankind
    -0.73
    EMP
    -0.69
    fare
    -0.68
    aneers
    -0.67
     Akron
    -0.67
     Fantasy
    -0.66
    Honest
    -0.65
     Petty
    -0.64
    rentice
    -0.62
     Camel
    -0.62
    POSITIVE LOGITS
     neurons
    1.19
     neuron
    1.16
    ergic
    0.92
     cells
    0.87
     neuronal
    0.83
    ilaterally
    0.83
     circuitry
    0.82
     receptors
    0.82
    cells
    0.79
     activation
    0.78
    Activations Density 0.019%

    No Known Activations