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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. 2-RES-JB
    11. 15532
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    Explanations

    references to the sports network "ESPN"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the ESPN network

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ple
    -0.77
    hood
    -0.74
    mits
    -0.73
    liners
    -0.69
    plet
    -0.68
    oths
    -0.68
    bodied
    -0.67
    umatic
    -0.66
    umph
    -0.65
    geries
    -0.64
    POSITIVE LOGITS
    ESPN
    0.93
    conn
    0.79
    sburg
    0.79
     Analytics
    0.79
    ipedia
    0.78
    ERG
    0.78
     Properties
    0.78
     SPORTS
    0.73
    olor
    0.72
    DAQ
    0.70
    Activations Density 0.013%

    No Known Activations