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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. 8-RES-JB
    11. 6817
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    Explanations

    phrases indicating a conclusion or summary in a text

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conclusions or final judgments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    href
    -0.74
    tan
    -0.72
    elight
    -0.72
    dos
    -0.72
    eni
    -0.70
    maid
    -0.66
    eners
    -0.66
    lot
    -0.64
    names
    -0.63
    corn
    -0.63
    POSITIVE LOGITS
     concluding
    0.84
    uations
    0.76
    igm
    0.73
     conclusion
    0.73
    ãĤ¤ãĥĪ
    0.69
     conclude
    0.67
    itutes
    0.67
     FANTASY
    0.67
    itute
    0.66
     conclusions
    0.66
    Activations Density 0.035%

    No Known Activations