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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. 0-RES-JB
    11. 18200
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    Explanations

    words related to specific areas or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to zones in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     presumptive
    -0.74
     coron
    -0.73
     toget
    -0.71
     constit
    -0.71
     brewing
    -0.70
     brist
    -0.70
     bapt
    -0.69
    mort
    -0.69
     catapult
    -0.67
     united
    -0.67
    POSITIVE LOGITS
     Zone
    3.98
    Zone
    2.71
    zone
    1.72
     zone
    1.49
     zones
    1.27
     Area
    1.21
     Room
    1.07
     Trop
    1.07
     Zig
    1.01
     Site
    0.99
    Activations Density 0.011%

    No Known Activations