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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. 7-RES-JB
    11. 6476
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    Explanations

    exceptions or anomalies in information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "exception" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nanop
    -0.66
     opio
    -0.61
    raph
    -0.61
     ox
    -0.61
    raz
    -0.60
    DCS
    -0.60
    ching
    -0.59
     courier
    -0.58
    MT
    -0.58
     rall
    -0.58
    POSITIVE LOGITS
     exceptions
    0.88
    Reviewer
    0.86
    perty
    0.85
    arily
    0.79
    izzle
    0.77
    ĸļ
    0.76
    ality
    0.75
    ional
    0.75
    ament
    0.75
    als
    0.74
    Activations Density 0.026%

    No Known Activations