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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
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    Explanations

    keywords related to the activity of racing, such as "racing," "bikes," "speed," and "course."

    oai_token-act-pair · gpt-3.5-turbo

    references to racing activities

    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
    ividual
    -0.76
    umbnail
    -0.74
    xus
    -0.69
    asure
    -0.65
    atever
    -0.64
    idence
    -0.64
    ucky
    -0.64
     Hancock
    -0.64
    carry
    -0.63
    ows
    -0.63
    POSITIVE LOGITS
     racing
    0.96
     Racing
    0.76
     racer
    0.76
     enthus
    0.75
     withd
    0.74
    Race
    0.74
    GGGGGGGG
    0.73
    ball
    0.72
    cade
    0.70
    lane
    0.69
    Activations Density 0.016%

    No Known Activations