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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. 8951
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    Explanations

    terms related to the programming concept of "pull requests"

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the action of pulling

    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
    ecause
    -0.77
    ccording
    -0.76
    afort
    -0.75
    voy
    -0.75
     Scope
    -0.75
    icol
    -0.73
    ibel
    -0.69
    namese
    -0.69
     TAMADRA
    -0.68
    heid
    -0.68
    POSITIVE LOGITS
    pull
    1.12
     pull
    1.07
    Pull
    1.00
     aggro
    0.87
     Pull
    0.86
     levers
    0.85
    overs
    0.81
     pulls
    0.79
    chairs
    0.78
    backs
    0.78
    Activations Density 0.013%

    No Known Activations