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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. 7806
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    Explanations

    phrases indicating a level of difficulty or timeliness

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "not too" indicating a qualitative assessment

    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
    igi
    -0.77
    swick
    -0.76
    hyde
    -0.72
    ERT
    -0.69
    ngth
    -0.68
    icipated
    -0.67
    intosh
    -0.65
    çļ
    -0.65
    Rus
    -0.64
    ridor
    -0.63
    POSITIVE LOGITS
     much
    0.91
     fancy
    0.87
     flashy
    0.83
     bothered
    0.80
     noticeable
    0.77
     pleasant
    0.76
     surprising
    0.76
     forgiving
    0.75
     distracting
    0.75
     bother
    0.75
    Activations Density 0.030%

    No Known Activations