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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. 4-RES-JB
    11. 2789
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    Explanations

    keywords related to schematics and schedules

    oai_token-act-pair · gpt-3.5-turbo

    words related to "scheme" or "schematics" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĺħ
    -0.67
    hiro
    -0.67
     Spani
    -0.66
    INGTON
    -0.65
     Gujar
    -0.64
     piercing
    -0.63
     needless
    -0.63
     Lomb
    -0.62
     pastor
    -0.62
     Taiwanese
    -0.62
    POSITIVE LOGITS
    dule
    1.59
    sche
    0.96
    xual
    0.94
    uling
    0.91
    Sche
    0.89
    mers
    0.87
    mic
    0.87
    ateg
    0.86
    eker
    0.85
    uler
    0.84
    Activations Density 0.011%

    No Known Activations