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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. 3832
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    INDEX
    Explanations

    the word "ice" or related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to ice

    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
     scrut
    -0.84
    ¥ŀ
    -0.82
    merce
    -0.73
    uilt
    -0.73
    INGTON
    -0.72
    trak
    -0.71
    ajo
    -0.70
     candidacy
    -0.69
    hovah
    -0.69
    omination
    -0.69
    POSITIVE LOGITS
    ice
    1.03
    llular
    1.02
    llo
    0.97
    lli
    0.97
    lla
    0.97
    xp
    0.85
    ptives
    0.77
    cream
    0.76
    utics
    0.76
    ptive
    0.74
    Activations Density 0.009%

    No Known Activations