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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. 464
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    INDEX
    Explanations

    mentions of the first occurrence or achievement of something in a series or career

    oai_token-act-pair · gpt-3.5-turbo

    references to first-time events or significant appearances

    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
    riber
    -0.75
    ensional
    -0.72
     abound
    -0.72
    isson
    -0.68
    orius
    -0.66
     Berman
    -0.66
     Registrar
    -0.64
     Archives
    -0.63
    rupulous
    -0.62
    bly
    -0.62
    POSITIVE LOGITS
     outing
    1.01
     foray
    0.89
     EVER
    0.83
     outings
    0.82
     ever
    0.78
    Ever
    0.78
     imaginable
    0.71
     counterparts
    0.71
    mates
    0.70
     appearance
    0.68
    Activations Density 0.267%

    No Known Activations