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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. 9-RES-JB
    11. 20087
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    Explanations

    references to source material or codes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sources and references in a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeper
    -0.87
    achine
    -0.72
    wagen
    -0.68
     Klux
    -0.68
    ipop
    -0.64
    teen
    -0.63
    eneg
    -0.63
    ecause
    -0.61
    nesday
    -0.61
    eden
    -0.61
    POSITIVE LOGITS
    books
    0.95
    Fed
    0.92
    forge
    0.90
    book
    0.88
    finding
    0.87
     whence
    0.83
    finder
    0.80
    kit
    0.79
     sources
    0.77
    ENC
    0.76
    Activations Density 0.040%

    No Known Activations