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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. 13264
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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 @ 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
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    No Comments

    Negative Logits
     Chambers
    -0.64
     ¯
    -0.62
     Cic
    -0.61
     hus
    -0.58
     Mek
    -0.57
    ĸļ
    -0.57
     Shapiro
    -0.55
     Pes
    -0.55
     Ri
    -0.55
    Ń·
    -0.54
    POSITIVE LOGITS
    up
    1.09
    ups
    1.00
    condition
    0.91
    fab
    0.90
    fledged
    0.89
    dep
    0.87
    ins
    0.84
    requisite
    0.84
    feature
    0.82
    dated
    0.81
    Activations Density 0.051%

    No Known Activations