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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. 7-RES-JB
    11. 19353
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    Explanations

    names with the pattern "Ed" followed by a strong emphasis on the letter inside the name

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and identities, particularly those related to individuals and characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kat
    -0.73
    lain
    -0.63
    icipated
    -0.63
    cdn
    -0.60
    kh
    -0.59
     Archdemon
    -0.57
    levels
    -0.57
    hiba
    -0.55
    _-
    -0.53
    foundation
    -0.53
    POSITIVE LOGITS
    abase
    0.74
     Garland
    0.71
    ENE
    0.71
    apolis
    0.69
     Lange
    0.68
    ëĭ
    0.68
    LEY
    0.65
    rete
    0.64
     Sed
    0.64
     corrid
    0.63
    Activations Density 0.151%

    No Known Activations