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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. 8-RES-JB
    6. 15955
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    INDEX
    Explanations

    terms related to work, preparation, and decision-making

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to preparation and efforts toward objectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illegal
    -0.72
    misc
    -0.71
    aven
    -0.70
    vol
    -0.68
     exception
    -0.67
    except
    -0.66
    laughs
    -0.66
    dra
    -0.65
    monkey
    -0.65
    cpp
    -0.63
    POSITIVE LOGITS
     prepares
    0.85
     progresses
    0.85
     unfolds
    0.84
     consolid
    0.79
     transitioned
    0.72
     increasingly
    0.72
     progressed
    0.71
     PTS
    0.71
     Hilbert
    0.71
     progressively
    0.70
    Activations Density 0.286%

    No Known Activations