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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. 17140
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    Explanations

    dates in the format of '18XX'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific historical years

    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
    orter
    -0.71
    ical
    -0.65
    adata
    -0.64
    itionally
    -0.64
    atown
    -0.64
    itional
    -0.63
    ete
    -0.63
    ickers
    -0.61
    ointed
    -0.61
    ically
    -0.59
    POSITIVE LOGITS
    650
    1.16
    94
    0.98
    91
    0.98
    92
    0.96
    58
    0.94
    84
    0.94
    83
    0.93
    85
    0.93
    81
    0.93
    71
    0.92
    Activations Density 0.054%

    No Known Activations