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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18530
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    Explanations

    actions or movements within a specific context or location

    oai_token-act-pair · gpt-3.5-turbo

    actions related to transitions or changes in state

    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
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    No Comments

    Negative Logits
    assetsadobe
    -0.77
     gif
    -0.63
    liga
    -0.61
     aver
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     meantime
    -0.59
     wip
    -0.58
     euphem
    -0.58
     fasc
    -0.57
     discrepancy
    -0.57
     Edition
    -0.57
    POSITIVE LOGITS
    entary
    0.73
    redients
    0.72
    士
    0.67
    isode
    0.67
    roth
    0.66
    adan
    0.66
    odox
    0.65
    utherford
    0.65
    enza
    0.63
    roup
    0.63
    Activations Density 0.093%

    No Known Activations