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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. 17202
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    INDEX
    Explanations

    references to predecessors

    oai_token-act-pair · gpt-3.5-turbo

    references to earlier entities or figures known as predecessors

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ux
    -0.69
    oros
    -0.69
    rage
    -0.68
    agra
    -0.67
    amina
    -0.67
    mouth
    -0.66
    arov
    -0.65
    acus
    -0.65
    aiman
    -0.65
    licted
    -0.65
    POSITIVE LOGITS
     predecessor
    1.13
     predecessors
    1.08
    cules
    0.86
     successor
    0.78
     incarn
    0.77
     Tad
    0.73
     successors
    0.72
     incarnation
    0.71
     generations
    0.70
    hesis
    0.70
    Activations Density 0.011%

    No Known Activations