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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. 1-RES-JB
    11. 2220
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    INDEX
    Explanations

    words related to emotional intensity or strong reactions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of outrage or anger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stocking
    -0.71
     coordinates
    -0.70
    advertisement
    -0.65
     collaborate
    -0.59
     collabor
    -0.59
     Bord
    -0.59
     cozy
    -0.58
     initials
    -0.58
     SPR
    -0.57
     colon
    -0.57
    POSITIVE LOGITS
    rage
    1.43
    rats
    0.94
    otine
    0.84
    rants
    0.78
    ratulations
    0.77
    vine
    0.76
    naire
    0.76
    rarily
    0.75
    ares
    0.75
    nesty
    0.74
    Activations Density 0.008%

    No Known Activations