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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. 11813
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    INDEX
    Explanations

    positive adjectives emphasizing quality or strength

    oai_token-act-pair · gpt-3.5-turbo

    evaluations of quality and intensity

    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
     Rooms
    -0.72
    ĺħ
    -0.69
    emen
    -0.66
     Immun
    -0.64
     guiActiveUn
    -0.61
     Bless
    -0.60
    Ľ
    -0.58
     Butterfly
    -0.56
     Veil
    -0.56
     "@
    -0.56
    POSITIVE LOGITS
    idious
    0.75
     AS
    0.72
    amus
    0.71
     than
    0.68
    keye
    0.67
    ernaut
    0.67
    iated
    0.67
     as
    0.67
    itational
    0.64
     athlet
    0.64
    Activations Density 0.093%

    No Known Activations