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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. 17431
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    Explanations

    words related to taking on difficult challenges or problems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to addressing or solving problems

    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
    urt
    -0.73
    abet
    -0.68
    eled
    -0.61
     Sabha
    -0.61
    iew
    -0.60
    atten
    -0.58
    icipated
    -0.57
    Render
    -0.57
    Leader
    -0.56
    aim
    -0.56
    POSITIVE LOGITS
    tackle
    0.83
    rolet
    0.78
     tackle
    0.78
    cheon
    0.75
    atown
    0.72
    alore
    0.71
     tackles
    0.70
     Crusade
    0.69
     tackling
    0.69
    tails
    0.69
    Activations Density 0.023%

    No Known Activations