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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. 11-RES-JB
    11. 21373
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    Explanations

    words relating to mistakes or intentional harm

    oai_token-act-pair · gpt-3.5-turbo

    negative consequences and regrets associated with mistakes or poor decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vation
    -0.87
    Interstitial
    -0.82
    åī
    -0.69
    uti
    -0.68
    vity
    -0.62
    Footnote
    -0.62
    ãĥ´
    -0.60
    ve
    -0.59
    rimination
    -0.59
    ivo
    -0.57
    POSITIVE LOGITS
    around
    1.07
    driver
    1.06
    drivers
    1.03
     around
    0.91
     up
    0.83
     Around
    0.82
    strap
    0.79
    up
    0.78
    ups
    0.76
     havoc
    0.75
    Activations Density 0.095%

    No Known Activations