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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3398
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    Explanations

    phrases related to retracting or withdrawing statements or actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the retraction or removal of statements, articles, or support

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idth
    -0.76
    ixture
    -0.74
    iour
    -0.73
    ixtures
    -0.71
    ancial
    -0.71
    aez
    -0.68
    irit
    -0.67
    icult
    -0.67
    achine
    -0.64
    inav
    -0.63
    POSITIVE LOGITS
     abruptly
    0.90
     outright
    0.87
     unanimously
    0.82
     laughing
    0.75
    dated
    0.73
     recommending
    0.72
     disbelief
    0.71
     prematurely
    0.71
     unres
    0.71
     aback
    0.70
    Activations Density 0.145%

    No Known Activations