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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. 9-RES-JB
    11. 19499
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    Explanations

    significant events or developments

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically commas, indicating separations in lists or clauses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     TAMADRA
    -0.74
    ptin
    -0.69
    »Ĵ
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    ©¶æ
    -0.66
    sein
    -0.66
    ioxide
    -0.64
    rew
    -0.63
    ãģł
    -0.62
    escription
    -0.62
    è£ħ
    -0.61
    POSITIVE LOGITS
    particularly
    1.14
    especially
    1.11
     especially
    1.05
     which
    1.05
     particularly
    1.04
     whose
    1.02
     where
    0.90
     wherein
    0.89
     who
    0.89
     whom
    0.88
    Activations Density 0.347%

    No Known Activations