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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. 21212
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    Explanations

    words related to specific dates and events

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific repeating token or character pattern

    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
    orescence
    -0.84
    oresc
    -0.81
    itud
    -0.80
    glers
    -0.79
    abwe
    -0.73
    oaded
    -0.71
    ciating
    -0.68
    enos
    -0.67
    urat
    -0.67
    arsity
    -0.67
    POSITIVE LOGITS
    0.98
    Leaks
    0.85
    âĢ¢âĢ¢
    0.85
    Bloomberg
    0.81
    0.81
    NOR
    0.78
    Canada
    0.75
    everyone
    0.74
    SER
    0.73
    Ö¼
    0.73
    Activations Density 0.022%

    No Known Activations