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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. 12-RES-JB
    11. 2467
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    INDEX
    Explanations

    original sources of information or material

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to sources and citations in the text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    eer
    -0.75
    wagen
    -0.66
    apses
    -0.64
    achine
    -0.63
    eg
    -0.63
    erous
    -0.59
     Butterfly
    -0.58
    ecause
    -0.58
    oat
    -0.56
    teen
    -0.55
    POSITIVE LOGITS
    forge
    1.02
    book
    0.95
    books
    0.94
     material
    0.90
     code
    0.85
    Fed
    0.85
    Forge
    0.84
     CODE
    0.78
    code
    0.77
     materials
    0.73
    Activations Density 0.046%

    No Known Activations