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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. 6-RES-JB
    11. 10941
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    Explanations

    word parts or a specific pattern that appear repeatedly but do not form coherent text

    oai_token-act-pair · gpt-3.5-turbo

    words related to specific actions or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     suspic
    -0.69
     reluct
    -0.67
    PDATE
    -0.64
     VIDE
    -0.63
     cumbers
    -0.63
    ModLoader
    -0.62
    ÙĴ
    -0.62
     convol
    -0.62
    WARN
    -0.61
    DERR
    -0.61
    POSITIVE LOGITS
    ensis
    1.18
    aii
    0.84
    gmail
    0.84
    ocious
    0.82
    yahoo
    0.79
    [_
    0.77
    iii
    0.74
    pai
    0.73
    ii
    0.73
    yan
    0.73
    Activations Density 0.364%

    No Known Activations