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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. 8-RES-JB
    11. 23591
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    Explanations

    references to specific objects or locations in various entertainment media

    oai_token-act-pair · gpt-3.5-turbo

    references to popular culture, specifically identifying sources of various media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rils
    -0.90
    opausal
    -0.79
    ratulations
    -0.75
    irm
    -0.72
    merce
    -0.68
    puter
    -0.67
    faced
    -0.67
    moderate
    -0.66
    onential
    -0.64
    perty
    -0.64
    POSITIVE LOGITS
     afar
    1.27
     whence
    1.20
     antiquity
    0.99
     scrimmage
    0.91
     childhood
    0.90
     scratch
    0.87
     infancy
    0.84
     nowhere
    0.84
     Outer
    0.84
     Epic
    0.76
    Activations Density 0.136%

    No Known Activations