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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. 21489
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    Explanations

    adjectives related to quality or precision

    oai_token-act-pair · gpt-3.5-turbo

    terms related to proper organization and quality control

    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
    idge
    -0.74
    umbn
    -0.69
    thur
    -0.67
    iscopal
    -0.66
    adier
    -0.64
    kay
    -0.63
    isively
    -0.62
    MAS
    -0.61
    è£ħ
    -0.61
    manent
    -0.60
    POSITIVE LOGITS
    paren
    0.78
     (>
    0.78
    entious
    0.76
     (<
    0.71
    ÃŁ
    0.62
     by
    0.59
     geographically
    0.59
    urat
    0.58
    uctor
    0.58
     democracies
    0.57
    Activations Density 0.190%

    No Known Activations