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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. 2262
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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
    Not in Any Lists

    No Comments

    Negative Logits
     Turing
    -0.69
    Ô
    -0.64
    igmatic
    -0.63
    assi
    -0.62
     compliment
    -0.61
    amiya
    -0.61
     criminally
    -0.60
     cheating
    -0.59
    ierre
    -0.58
    abbage
    -0.57
    POSITIVE LOGITS
     Newsp
    0.87
    yahoo
    0.82
    office
    0.70
    flash
    0.69
     Malays
    0.68
    umbn
    0.68
    ificant
    0.65
    leases
    0.65
    clinton
    0.64
    Austral
    0.62
    Activations Density 0.096%

    No Known Activations