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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. 4239
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    Explanations

    references to columns or columnists

    oai_token-act-pair · gpt-3.5-turbo

    references to columns and columnists in written works

    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
    à¹
    -0.65
    qual
    -0.64
     Norn
    -0.64
    chuk
    -0.63
    CRIP
    -0.62
     Verb
    -0.61
    zie
    -0.61
    BLE
    -0.60
    ESCO
    -0.60
    ãĤ¿
    -0.60
    POSITIVE LOGITS
    ists
    1.17
    istics
    0.97
     inches
    0.95
    oons
    0.84
    ista
    0.83
    ist
    0.83
    ical
    0.83
    oad
    0.82
    aries
    0.82
    ials
    0.81
    Activations Density 0.021%

    No Known Activations