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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. 1-RES-JB
    11. 21104
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    Explanations

    specific locations, especially those related to legal, environmental, or sports contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations and substances related to environmental concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Peninsula
    -0.75
    pine
    -0.73
    oway
    -0.71
    Central
    -0.70
    alth
    -0.69
    amate
    -0.69
     Deer
    -0.68
    stall
    -0.67
    pper
    -0.66
    >[
    -0.65
    POSITIVE LOGITS
     graphene
    1.21
     oxide
    0.83
    heet
    0.80
    SourceFile
    0.77
     sheets
    0.75
     knots
    0.75
     lettuce
    0.74
     defic
    0.73
     Canaver
    0.72
    acious
    0.71
    Activations Density 0.016%

    No Known Activations