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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. 8529
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    INDEX
    Explanations

    numerical rankings or positions

    oai_token-act-pair · gpt-3.5-turbo

    references to rankings or numerical designations in sports contexts

    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
    sym
    -0.74
    ework
    -0.70
    iths
    -0.68
    chat
    -0.66
    ét
    -0.66
    arist
    -0.64
    adr
    -0.64
    ée
    -0.64
    ventions
    -0.63
    ayed
    -0.63
    POSITIVE LOGITS
     contender
    0.80
     seed
    0.70
    CLASSIFIED
    0.69
    ashington
    0.69
     Duke
    0.69
    bilt
    0.68
    Tier
    0.67
     earners
    0.67
    CV
    0.66
     ranking
    0.66
    Activations Density 0.029%

    No Known Activations