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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. 17118
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    Explanations

    years related to specific events or statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and time periods in data or statistics

    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
    umbn
    -0.86
     lawy
    -0.64
     ultraviolet
    -0.63
    REDACTED
    -0.63
    amina
    -0.62
     somew
    -0.59
     burner
    -0.59
     repent
    -0.56
    eneg
    -0.56
     lick
    -0.55
    POSITIVE LOGITS
     preceding
    0.79
     previous
    0.73
     predecessors
    0.70
     Ago
    0.70
     lows
    0.68
    historic
    0.67
     onwards
    0.67
    ().
    0.66
     prior
    0.66
     predecessor
    0.64
    Activations Density 0.172%

    No Known Activations