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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. 11-RES-JB
    11. 80
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    Explanations

    words related to physical actions or movements

    oai_token-act-pair · gpt-3.5-turbo

    words related to cricket

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    /+
    -0.66
     Pradesh
    -0.62
    boxing
    -0.61
     Samar
    -0.60
    β
    -0.59
    urion
    -0.58
    iage
    -0.57
    ////////
    -0.56
     hereafter
    -0.56
    mA
    -0.54
    POSITIVE LOGITS
    eworthy
    0.93
    bart
    0.91
    pled
    0.81
    eters
    0.77
    rency
    0.68
    cross
    0.68
    acea
    0.67
    xus
    0.66
    clips
    0.66
    neck
    0.66
    Activations Density 0.078%

    No Known Activations