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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. 4-RES-JB
    11. 10873
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    Explanations

    locations or stores mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to polling or retail locations

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

    No Comments

    Negative Logits
    ATH
    -0.72
    PUT
    -0.70
    Progress
    -0.69
    Lear
    -0.67
    IOR
    -0.65
    rawdownloadcloneembedreportprint
    -0.65
    THER
    -0.63
    Revolution
    -0.63
    Prin
    -0.62
    LET
    -0.61
    POSITIVE LOGITS
    hips
    1.31
    hare
    1.11
    chool
    1.07
    hops
    1.02
    ourcing
    1.01
    aurus
    1.00
    afety
    1.00
    uggest
    0.96
    hip
    0.93
    pring
    0.89
    Activations Density 0.119%

    No Known Activations