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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. 3-RES-JB
    11. 4060
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    oai_token-act-pair · gpt-3.5-turbo

    references to conflict of interest and associated governmental bodies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pat
    -0.67
     Shed
    -0.66
     emph
    -0.65
    oÄŁ
    -0.64
    raw
    -0.63
     "\
    -0.62
    PsyNetMessage
    -0.61
    ream
    -0.59
    natureconservancy
    -0.59
     reconc
    -0.58
    POSITIVE LOGITS
    ysics
    0.72
     fame
    0.71
     Rica
    0.65
     Swordsman
    0.65
    rimination
    0.64
     Elementary
    0.64
    Lay
    0.61
    -------
    0.61
    士
    0.60
     Despair
    0.60
    Activations Density 0.585%

    No Known Activations