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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. 15895
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    Explanations

    keywords related to publishing and sharing information, such as "posted" or "introduced."

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to actions taken or decisions made in an official context

    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
     Sierra
    -0.66
    istries
    -0.66
    oro
    -0.63
    Fit
    -0.61
     edge
    -0.60
    mare
    -0.60
     stripes
    -0.60
     relationships
    -0.59
     mutants
    -0.59
    enance
    -0.59
    POSITIVE LOGITS
     unanimously
    0.93
     aback
    0.83
     by
    0.79
    terday
    0.73
     exting
    0.72
     yesterday
    0.71
     psychiat
    0.71
     Borough
    0.67
     beforehand
    0.66
     earlier
    0.65
    Activations Density 0.315%

    No Known Activations