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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. 3899
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations or entities, particularly those related to research or academic institutions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -1.04
    iazep
    -0.73
    ickr
    -0.67
    arcity
    -0.67
    pedia
    -0.67
    ursday
    -0.63
     compr
    -0.60
    urat
    -0.60
     Armen
    -0.60
     unbeliev
    -0.59
    POSITIVE LOGITS
    crew
    0.91
    INAL
    0.84
    IED
    0.82
    Ķ
    0.79
    ¬
    0.77
     Janeiro
    0.73
    Autom
    0.71
    ²
    0.69
    Royal
    0.69
     Rasm
    0.69
    Activations Density 0.060%

    No Known Activations