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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. 0-RES-JB
    11. 7859
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    Explanations

    person names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and significant figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ono
    -0.90
    Pass
    -0.78
    paren
    -0.70
    Spl
    -0.68
     garage
    -0.67
    lins
    -0.66
     spl
    -0.65
    ruit
    -0.65
    alph
    -0.63
     Garage
    -0.63
    POSITIVE LOGITS
     GOODMAN
    3.19
    amus
    1.82
     Jinping
    1.55
     Tyson
    1.42
     Marcos
    1.40
    eming
    1.25
    utics
    1.21
     Revis
    1.19
    ctory
    1.06
    utic
    1.04
    Activations Density 0.043%

    No Known Activations