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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. 10-RES-JB
    11. 1153
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Fenrir
    -0.75
     »
    -0.68
     Gorge
    -0.67
     Berger
    -0.66
     ric
    -0.65
     Ambrose
    -0.65
     laun
    -0.64
     Grimm
    -0.63
     metic
    -0.63
     Thomas
    -0.63
    POSITIVE LOGITS
    (
    2.27
    (-
    2.00
    ((
    1.91
    ($
    1.85
    ("
    1.82
    (*
    1.75
    ([
    1.75
    (_
    1.73
    ('
    1.73
    (\
    1.70
    Activations Density 0.096%

    No Known Activations