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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. 9905
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    INDEX
    Explanations

    reasons or explanations

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "reasons" or justifications for various claims or beliefs

    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
    bilt
    -0.75
    xon
    -0.72
    ream
    -0.71
    quet
    -0.69
     Winged
    -0.67
    externalActionCode
    -0.67
    ograph
    -0.65
    ibaba
    -0.64
    minster
    -0.64
    yss
    -0.63
    POSITIVE LOGITS
     why
    1.05
    pointers
    0.88
     reasons
    0.86
    why
    0.84
    abl
    0.83
     WHY
    0.82
    æĦ
    0.80
     justifying
    0.77
     cele
    0.75
    cale
    0.73
    Activations Density 0.028%

    No Known Activations