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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. 15966
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    INDEX
    Explanations

    words indicating anticipation or expectation

    oai_token-act-pair · gpt-3.5-turbo

    words related to anticipation or expectation

    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
    audi
    -0.81
    organic
    -0.78
    midt
    -0.72
    adj
    -0.71
    raction
    -0.68
    vil
    -0.68
    rug
    -0.68
    opter
    -0.67
    incial
    -0.67
    iane
    -0.66
    POSITIVE LOGITS
     await
    1.23
     awaits
    1.14
     awaiting
    1.13
     awaited
    1.05
     patiently
    1.05
     eagerly
    0.89
     waiting
    0.81
    lehem
    0.79
     waits
    0.79
     suspense
    0.77
    Activations Density 0.015%

    No Known Activations