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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. 7-RES-JB
    6. 14963
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    INDEX
    Explanations

    the phrase "Big" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Big" followed by numbers, indicating a focus on significant entities, brands, or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     confir
    -0.90
    istry
    -0.82
    theless
    -0.78
    idency
    -0.78
    cia
    -0.72
    ILA
    -0.71
    perty
    -0.69
     autop
    -0.67
    yrim
    -0.67
    Dialogue
    -0.66
    POSITIVE LOGITS
    gest
    1.44
    ger
    1.21
    wig
    0.99
    gie
    0.99
    gers
    0.95
    gins
    0.94
     Brother
    0.87
    glers
    0.86
    GER
    0.85
    ging
    0.85
    Activations Density 0.024%

    No Known Activations