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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. 4-RES-JB
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    Explanations

    words related to sports defense positions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "defender" in various contexts, especially in sports

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

    No Comments

    Negative Logits
    cow
    -0.73
    ibal
    -0.73
    isma
    -0.66
    ceed
    -0.66
     Fishing
    -0.65
    isan
    -0.65
    orie
    -0.64
    sth
    -0.64
    yss
    -0.63
    entry
    -0.63
    POSITIVE LOGITS
     defender
    0.90
     defenders
    0.89
    ãĤº
    0.78
    iants
    0.76
    bane
    0.74
    ngth
    0.73
     Defenders
    0.72
     defending
    0.70
    ãĥĨãĤ£
    0.68
    EEE
    0.66
    Activations Density 0.013%

    No Known Activations