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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. 1732
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    Explanations

    entities or items that are officially "listed"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "listed" and its contextual usage

    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
    qua
    -0.75
    icz
    -0.65
     runoff
    -0.63
    sand
    -0.63
    wake
    -0.63
    idge
    -0.61
    ¯¯¯¯¯¯¯¯
    -0.60
     inflicted
    -0.60
    rit
    -0.60
    jong
    -0.59
    POSITIVE LOGITS
     alphabet
    0.92
     trademarks
    0.84
     tradem
    0.82
     listing
    0.80
     listings
    0.78
    daq
    0.76
    entin
    0.71
     Seller
    0.71
    enance
    0.70
     listed
    0.69
    Activations Density 0.039%

    No Known Activations