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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. 9-RES-JB
    11. 13142
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    INDEX
    Explanations

    instances of negative sentiment towards specific actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    instances of reaction to social controversies or faux pas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ........
    -0.80
    .?
    -0.77
     ................
    -0.76
    ................
    -0.73
    `.
    -0.68
    .(
    -0.68
    .","
    -0.68
    Found
    -0.68
     !!
    -0.67
     --------------------------------
    -0.66
    POSITIVE LOGITS
     spoilers
    0.75
     relegation
    0.72
     vocals
    0.68
     Patreon
    0.67
     spoiler
    0.67
     pronouns
    0.67
     Canaver
    0.66
     Yiannopoulos
    0.65
    clus
    0.65
     subtitles
    0.63
    Activations Density 1.235%

    No Known Activations