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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. 7-RES-JB
    11. 3186
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    Explanations

    comparisons indicating proximity or distance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating proximity or comparison

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wa
    -0.70
    ford
    -0.64
    yr
    -0.63
    elson
    -0.63
    draft
    -0.62
    å°
    -0.62
    anta
    -0.62
    WI
    -0.61
    don
    -0.61
    onomy
    -0.60
    POSITIVE LOGITS
    enough
    0.78
     enough
    0.76
     satisfactory
    0.74
     resembling
    0.73
    ittees
    0.70
     anymore
    0.69
     nor
    0.69
    Enough
    0.68
     adequate
    0.68
     Enough
    0.67
    Activations Density 0.071%

    No Known Activations