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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. 7-RES-JB
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    Explanations

    measurements in meters

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to measurements of length, specifically meters and their variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udeb
    -0.78
    istically
    -0.70
    idth
    -0.70
    MODE
    -0.69
     Tycoon
    -0.64
    interpret
    -0.64
    icer
    -0.63
    gin
    -0.63
    =-=-=-=-=-=-=-=-
    -0.63
    Kings
    -0.63
    POSITIVE LOGITS
     diameter
    0.96
     tall
    0.90
     squared
    0.80
     meters
    0.79
     (~
    0.78
    imet
    0.77
     Cheong
    0.75
     submerged
    0.73
     kilometers
    0.73
     bore
    0.73
    Activations Density 0.030%

    No Known Activations