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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. 1-RES-JB
    11. 22024
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    INDEX
    Explanations

    numerical identifiers with a specific format and length

    oai_token-act-pair · gpt-3.5-turbo

    the presence of specific identification codes or labels associated with various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andise
    -0.87
     silence
    -0.71
     chances
    -0.70
     Gamb
    -0.68
    north
    -0.67
     circulation
    -0.67
    bilt
    -0.67
    uten
    -0.64
     hypot
    -0.63
     torped
    -0.61
    POSITIVE LOGITS
    irect
    1.26
    ID
    1.11
    irection
    1.03
    iots
    0.99
    ividual
    0.99
    DEN
    0.99
    ocument
    0.97
    IO
    0.87
    idas
    0.86
    iotic
    0.85
    Activations Density 0.008%

    No Known Activations