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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. 4-RES-JB
    11. 6841
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    INDEX
    Explanations

    references to the phrase "pull"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "pull" and its variations

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

    No Comments

    Negative Logits
    ibel
    -0.76
    ccording
    -0.74
    ecause
    -0.74
    brates
    -0.72
    afort
    -0.72
     Scope
    -0.70
    brate
    -0.70
     Seah
    -0.70
    voy
    -0.70
    icol
    -0.69
    POSITIVE LOGITS
     pull
    1.06
    pull
    1.06
    Pull
    0.96
     levers
    0.88
     aggro
    0.84
    chairs
    0.82
     Pull
    0.80
     pulls
    0.79
    overs
    0.78
     sled
    0.78
    Activations Density 0.015%

    No Known Activations