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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. 8-RES-JB
    11. 8232
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    Explanations

    mentions of built-in features or components

    oai_token-act-pair · gpt-3.5-turbo

    references to built-in features or components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ĥİ
    -0.65
     Unsure
    -0.64
    ican
    -0.63
     Cruel
    -0.61
    Published
    -0.61
    Senior
    -0.61
    my
    -0.61
     Leilan
    -0.61
    ingly
    -0.60
     Fren
    -0.59
    POSITIVE LOGITS
    built
    0.79
     atop
    0.72
    itect
    0.72
    otypes
    0.71
    ILD
    0.71
     into
    0.70
    packs
    0.70
    omach
    0.70
     Seym
    0.69
     bridges
    0.68
    Activations Density 0.029%

    No Known Activations