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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. 8-RES-JB
    11. 11387
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    Explanations

    specific timestamps in date format

    oai_token-act-pair · gpt-3.5-turbo

    prepositions indicating time or location

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TextColor
    -0.71
    XL
    -0.69
    rador
    -0.67
    agos
    -0.64
    rast
    -0.62
    ERA
    -0.62
    AFTA
    -0.61
    EMA
    -0.60
    AG
    -0.60
    QB
    -0.60
    POSITIVE LOGITS
     ·
    0.73
     Tue
    0.71
     Quote
    0.67
     behalf
    0.67
     05
    0.65
     06
    0.65
     Feb
    0.65
    MENTS
    0.65
     Apr
    0.65
     debian
    0.64
    Activations Density 0.083%

    No Known Activations