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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. 2-RES-JB
    11. 23955
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    Explanations

    instances of the word "pulled"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "pulled."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibel
    -0.74
    nam
    -0.72
    lain
    -0.71
    vous
    -0.70
    esan
    -0.70
     Scope
    -0.69
    unic
    -0.68
    antics
    -0.68
    heid
    -0.68
    icol
    -0.68
    POSITIVE LOGITS
    pull
    1.08
     pull
    0.96
    Pull
    0.94
     pulled
    0.85
     aggro
    0.85
     pulls
    0.83
     pulling
    0.83
     Pull
    0.80
    lift
    0.75
     weeds
    0.69
    Activations Density 0.014%

    No Known Activations