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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. 12-RES-JB
    11. 4192
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    INDEX
    Explanations

    words related to sports teams and games

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    mention of teams, games, or players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    houses
    -0.78
    clips
    -0.77
    hots
    -0.76
     Sections
    -0.75
    osponsors
    -0.70
     sections
    -0.69
     preceded
    -0.67
    anu
    -0.66
     spots
    -0.64
    slot
    -0.64
    POSITIVE LOGITS
     equation
    1.29
     puzzle
    1.24
     repertoire
    0.96
     charm
    0.94
     fabric
    0.93
     mosaic
    0.91
     package
    0.90
     solution
    0.90
     continuum
    0.90
     arsenal
    0.90
    Activations Density 0.237%

    No Known Activations