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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. 1547
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    INDEX
    Explanations

    descriptive words indicating depth or intensity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "deep."

    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
    ICAN
    -0.82
    icans
    -0.77
    Ĥİ
    -0.72
     AUTHOR
    -0.71
    ULE
    -0.69
     Peb
    -0.68
    UID
    -0.68
    dule
    -0.67
    orious
    -0.66
     Rouse
    -0.66
    POSITIVE LOGITS
    ened
    0.95
     deep
    0.93
     vein
    0.91
     depth
    0.90
     penetration
    0.88
     trench
    0.84
     seeded
    0.80
     depths
    0.80
     trenches
    0.79
    deep
    0.78
    Activations Density 0.012%

    No Known Activations