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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. 20287
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    Explanations

    text related to actions involving daring, risk-taking, and potentially controversial behavior

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with negative actions or comments

    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
    ndra
    -0.79
    ntil
    -0.77
    tions
    -0.74
    lich
    -0.70
    -+-+
    -0.69
    ambo
    -0.68
    etheless
    -0.68
    lished
    -0.65
    ategories
    -0.63
    vertisement
    -0.63
    POSITIVE LOGITS
     aback
    1.09
     seriously
    1.07
     cues
    1.03
     liberties
    1.02
     stride
    0.91
     Seriously
    0.90
     hostage
    0.90
     cue
    0.89
     plunge
    0.89
     precautions
    0.89
    Activations Density 0.389%

    No Known Activations