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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. 11442
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    Explanations

    symbols or markings representing different terms or concepts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol

    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
    theless
    -0.77
     Overt
    -0.68
     scramble
    -0.68
     ABE
    -0.67
    wagen
    -0.66
    creen
    -0.66
     shroud
    -0.65
     Lutheran
    -0.63
     visitor
    -0.62
     Squirrel
    -0.62
    POSITIVE LOGITS
    ł
    1.24
    ª
    1.18
    Ĵ
    1.11
    IJ
    1.10
    ¬
    1.03
    ¹
    1.03
    ¤
    1.02
    §
    0.98
    Ķ
    0.98
    Ļ
    0.96
    Activations Density 0.102%

    No Known Activations