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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. 4-RES-JB
    11. 9502
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    Explanations

    words related to literacy and reading skills

    oai_token-act-pair · gpt-3.5-turbo

    references to reading

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

    No Comments

    Negative Logits
    xon
    -0.88
    ortality
    -0.87
    اÙĦ
    -0.79
    ega
    -0.74
    ascal
    -0.74
    ella
    -0.72
    pload
    -0.71
    rolet
    -0.69
    ño
    -0.69
    ugal
    -0.67
    POSITIVE LOGITS
     comprehension
    1.30
     aloud
    1.08
    just
    0.93
     glasses
    0.89
    ied
    0.87
     Reading
    0.81
     reading
    0.80
    ying
    0.77
    Reading
    0.75
     readings
    0.75
    Activations Density 0.021%

    No Known Activations