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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. 9-RES-JB
    11. 24200
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    INDEX
    Explanations

    contractions in a text

    oai_token-act-pair · gpt-3.5-turbo

    the contraction "they're" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    BuyableInstoreAndOnline
    -0.82
    inav
    -0.73
     Bernstein
    -0.73
    OSH
    -0.67
    osion
    -0.67
     Mayer
    -0.66
     Zup
    -0.66
     Khe
    -0.66
    romeda
    -0.66
     SetTextColor
    -0.66
    POSITIVE LOGITS
     gonna
    1.01
    selves
    0.93
    ngth
    0.92
     thankful
    0.86
     proud
    0.84
    agine
    0.82
    initely
    0.80
     glad
    0.78
     supposed
    0.77
    very
    0.76
    Activations Density 0.058%

    No Known Activations