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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. 15235
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    INDEX
    Explanations

    references to reading or studying something

    oai_token-act-pair · gpt-3.5-turbo

    mentions of reading and related activities

    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
    xon
    -0.87
    ortality
    -0.84
    elin
    -0.80
    redo
    -0.79
    اÙĦ
    -0.73
    xa
    -0.72
    ella
    -0.72
    uay
    -0.71
    heed
    -0.71
    hap
    -0.70
    POSITIVE LOGITS
     comprehension
    1.30
     aloud
    0.93
     glasses
    0.88
     Reading
    0.76
    Reading
    0.72
     habits
    0.70
     readings
    0.70
     enjoyment
    0.70
     excerpts
    0.68
    iances
    0.68
    Activations Density 0.034%

    No Known Activations