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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. 4-RES-JB
    11. 2611
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    Explanations

    phrases indicating clarity or lack thereof in a statement or situation

    oai_token-act-pair · gpt-3.5-turbo

    statements emphasizing clarity or lack of clarity

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

    No Comments

    Negative Logits
    eatures
    -0.95
    alez
    -0.92
    unte
    -0.86
    umbn
    -0.76
    izons
    -0.72
    aven
    -0.71
    aband
    -0.71
    uld
    -0.71
    uits
    -0.70
    ritical
    -0.70
    POSITIVE LOGITS
    ances
    0.85
     sailing
    0.83
     clear
    0.78
    ance
    0.75
     Dragonbound
    0.74
     enough
    0.72
     ($)
    0.69
     chronological
    0.68
     MX
    0.67
     clearer
    0.65
    Activations Density 0.021%

    No Known Activations