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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. 10-RES-JB
    11. 5555
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    INDEX
    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.67
    FACE
    -0.64
    urat
    -0.59
     Juda
    -0.58
    HOME
    -0.58
     Argentina
    -0.56
     partName
    -0.55
     Abe
    -0.55
    eki
    -0.55
     Wonder
    -0.55
    POSITIVE LOGITS
    iggs
    0.85
    andowski
    0.80
    ensing
    0.70
    ushing
    0.66
    govtrack
    0.66
    aves
    0.65
    bender
    0.64
    dry
    0.64
    anni
    0.62
    abin
    0.62
    Activations Density 0.190%

    No Known Activations