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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. 3-RES-JB
    11. 24019
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    Explanations

    phrases related to a physical sliding movement

    oai_token-act-pair · gpt-3.5-turbo

    mentions of slides in presentations or documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Carbuncle
    -0.73
    omes
    -0.73
    orate
    -0.72
    ãĥ¯ãĥ³
    -0.71
    raising
    -0.70
    Interstitial
    -0.69
    sts
    -0.67
    OME
    -0.66
    MpServer
    -0.65
    ãĤ±
    -0.65
    POSITIVE LOGITS
     slide
    0.94
     slides
    0.86
     Canaver
    0.85
    itzer
    0.82
    board
    0.78
    iewicz
    0.76
    ibrary
    0.73
     contrace
    0.73
     Slide
    0.72
     downhill
    0.71
    Activations Density 0.012%

    No Known Activations