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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. 7397
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    Explanations

    dates or time expressions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating time periods

    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
    rav
    -0.85
    itivity
    -0.82
    tons
    -0.76
    faced
    -0.75
    rition
    -0.74
    role
    -0.73
    resy
    -0.71
    zed
    -0.69
    aqu
    -0.69
    TEXT
    -0.68
    POSITIVE LOGITS
     afar
    1.22
     inception
    1.11
     January
    0.98
     scratch
    0.97
     dusk
    0.97
     conception
    0.96
     whence
    0.95
     1861
    0.94
     1951
    0.94
     1953
    0.93
    Activations Density 0.112%

    No Known Activations