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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. 8-RES-JB
    11. 17602
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    Explanations

    words related to sudden and urgent movement or action

    oai_token-act-pair · gpt-3.5-turbo

    terms related to urgency and rapid movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.83
    _-
    -0.66
    nesota
    -0.64
    ¢
    -0.64
    ership
    -0.60
    verted
    -0.58
    paying
    -0.58
    ¥µ
    -0.58
    ĺħ
    -0.58
    negative
    -0.56
    POSITIVE LOGITS
     frantically
    0.89
     forth
    0.86
     furiously
    0.85
     hither
    0.84
     ashore
    0.82
     forward
    0.79
     aboard
    0.78
     onward
    0.77
     onto
    0.77
     across
    0.76
    Activations Density 0.112%

    No Known Activations