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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. 8-RES-JB
    11. 10471
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rily
    -0.74
    uly
    -0.71
    cellaneous
    -0.69
    aciously
    -0.68
    ately
    -0.65
    viously
    -0.64
     Carbuncle
    -0.64
    entially
    -0.62
     randomly
    -0.62
    particularly
    -0.61
    POSITIVE LOGITS
    wives
    0.71
    acea
    0.69
    UID
    0.69
    ãĤ·ãĥ£
    0.68
    hig
    0.68
    ument
    0.66
    ITNESS
    0.66
    ãĤ¬
    0.65
    ãĥ
    0.63
    éĹ
    0.63
    Activations Density 0.382%

    No Known Activations