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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. 7-RES-JB
    11. 9975
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     .)
    -0.74
    .).
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    .")
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    Footnote
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    .)
    -0.56
     ).
    -0.55
    .ãĢį
    -0.54
     ."
    -0.54
     behavi
    -0.54
     prevailing
    -0.53
    POSITIVE LOGITS
     Profile
    0.73
    \":
    0.68
     âĵĺ
    0.67
    ':
    0.65
    %:
    0.65
     /
    0.63
     |--
    0.61
    odore
    0.60
     ::
    0.56
    *:
    0.55
    Activations Density 0.753%

    No Known Activations