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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. 11125
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    INDEX
    Explanations

    adjectives describing the quality of movies

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiments or criticisms about films

    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
    claw
    -0.67
    merga
    -0.56
     Tu
    -0.55
     mobility
    -0.54
     metals
    -0.54
    tnc
    -0.54
    ILE
    -0.53
    upper
    -0.52
    placed
    -0.52
    anka
    -0.52
    POSITIVE LOGITS
    ilogy
    0.91
     autobi
    0.84
     satir
    0.82
     satire
    0.82
     parody
    0.82
     sequels
    0.77
     plagiar
    0.76
     sequel
    0.76
     anthology
    0.74
    acly
    0.74
    Activations Density 0.949%

    No Known Activations