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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. 13073
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    INDEX
    Explanations

    references to sports and athletes

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to athletes

    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
    door
    -0.65
    doors
    -0.64
     Door
    -0.63
    irie
    -0.62
     Engels
    -0.62
    ward
    -0.61
    unda
    -0.60
    flies
    -0.60
    election
    -0.60
    WARD
    -0.60
    POSITIVE LOGITS
     Athlet
    1.08
     athletes
    1.08
     athlete
    1.05
    lete
    0.84
     doping
    0.79
    querque
    0.79
     endors
    0.76
    scar
    0.74
    rities
    0.74
     feder
    0.73
    Activations Density 0.025%

    No Known Activations