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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 11359
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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
    sea
    -0.71
    ensual
    -0.68
    azy
    -0.66
     seams
    -0.66
    ikawa
    -0.65
    prototype
    -0.65
    ensive
    -0.64
    ©¶æ¥µ
    -0.64
    idth
    -0.62
    ŃĶ
    -0.62
    POSITIVE LOGITS
     pund
    0.91
     Franch
    0.81
     pundits
    0.80
    isans
    0.80
     Narendra
    0.75
     PACs
    0.73
     refere
    0.71
    olicy
    0.69
    clinton
    0.69
     appoint
    0.68
    Activations Density 0.259%

    No Known Activations