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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. 3-RES-JB
    6. 1343
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    INDEX
    Explanations

    mentions of the ocean

    oai_token-act-pair · gpt-3.5-turbo

    references to the ocean

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.83
    POS
    -0.81
    TI
    -0.74
    TOP
    -0.73
    ibility
    -0.69
    ======
    -0.69
    nder
    -0.67
    Interstitial
    -0.67
    CRIP
    -0.67
    UID
    -0.67
    POSITIVE LOGITS
    ographer
    1.06
     basin
    1.01
     ocean
    1.01
     Ocean
    0.99
    front
    0.96
     liner
    0.93
    ographers
    0.89
    ographic
    0.82
     serpent
    0.82
     circulation
    0.81
    Activations Density 0.009%

    No Known Activations