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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. 10-RES-JB
    11. 3341
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    Explanations

    phrases related to safety and technical procedures

    oai_token-act-pair · gpt-3.5-turbo

    words related to safety and efficiency in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    romeda
    -0.60
    interstitial
    -0.59
    .):
    -0.57
    axter
    -0.54
    ipop
    -0.52
    laughs
    -0.51
    apple
    -0.51
    igslist
    -0.50
    .).
    -0.50
    okemon
    -0.48
    POSITIVE LOGITS
     and
    1.28
    and
    1.02
     &
    1.01
     AND
    1.01
    And
    0.83
    itatively
    0.72
    staking
    0.71
    lessly
    0.69
     untold
    0.69
     And
    0.67
    Activations Density 1.002%

    No Known Activations