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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. 8575
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    Explanations

    words related to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to different sports teams and their associated contexts

    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
    SPONSORED
    -0.79
    PsyNetMessage
    -0.74
    jen
    -0.72
    hra
    -0.72
     Cruise
    -0.72
    wcsstore
    -0.71
     Imperium
    -0.69
    ILA
    -0.67
    Untitled
    -0.66
    sym
    -0.66
    POSITIVE LOGITS
     rosters
    0.92
     mascot
    0.86
     Adin
    0.82
     announcer
    0.81
     coach
    0.80
     skelet
    0.80
    士
    0.79
     stadiums
    0.77
     coaches
    0.75
     masc
    0.75
    Activations Density 0.454%

    No Known Activations