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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. 8089
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    Explanations

    terms related to noteworthy or exceptional occurrences or events

    oai_token-act-pair · gpt-3.5-turbo

    references to phenomena or significant occurrences

    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
    gur
    -0.90
    zar
    -0.71
    har
    -0.70
    ãĤĮ
    -0.69
    ACTED
    -0.69
    bern
    -0.68
    gar
    -0.68
    umenthal
    -0.68
    endar
    -0.65
    reath
    -0.65
    POSITIVE LOGITS
    ually
    0.98
    ively
    0.92
     occurring
    0.91
     whereby
    0.91
    ional
    0.89
     phenomenon
    0.87
     occurrence
    0.84
    icity
    0.82
    uality
    0.81
     phenomena
    0.80
    Activations Density 0.038%

    No Known Activations