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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. 6-RES-JB
    11. 17015
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    INDEX
    Explanations

    references to the city or activity of Reading

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Reading" or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xon
    -0.94
    اÙĦ
    -0.84
    Thumbnail
    -0.75
    ortality
    -0.71
    ascal
    -0.70
    anu
    -0.69
    rolet
    -0.68
    pload
    -0.67
    asia
    -0.66
    kt
    -0.65
    POSITIVE LOGITS
     comprehension
    1.33
     aloud
    1.03
    just
    0.92
    ied
    0.87
     glasses
    0.85
    itatively
    0.77
    ying
    0.74
     Reading
    0.73
    ahead
    0.71
     manuscripts
    0.71
    Activations Density 0.032%

    No Known Activations