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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. 11-RES-JB
    11. 3734
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    Explanations

    numeric measurements and limits

    oai_token-act-pair · gpt-3.5-turbo

    specific measurements and restrictions related to physical objects or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.77
     lately
    -0.73
    iversary
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    æĺ
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    today
    -0.66
    senal
    -0.64
    ãĥ³ãĤ¸
    -0.63
    Luckily
    -0.63
    rily
    -0.63
    yout
    -0.62
    POSITIVE LOGITS
     preferably
    1.00
     (>
    1.00
     excluding
    0.97
     (%)
    0.96
    ufficient
    0.93
     or
    0.93
     shall
    0.91
     must
    0.91
     unless
    0.90
     (<
    0.89
    Activations Density 0.492%

    No Known Activations