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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. 6-RES-JB
    6. 22525
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    INDEX
    Explanations

    phrases related to frequency or time intervals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "every" in relation to time intervals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phabet
    -0.70
    olas
    -0.66
    ahime
    -0.62
     Esports
    -0.61
     Sakuya
    -0.60
     Jah
    -0.59
    hess
    -0.58
     Quinn
    -0.57
     Osw
    -0.57
     Journals
    -0.57
    POSITIVE LOGITS
    THING
    1.18
    where
    1.09
    single
    0.97
    things
    0.95
     conceivable
    0.92
     single
    0.92
    ħĭ
    0.92
    Ĥª
    0.89
     imaginable
    0.88
     inch
    0.88
    Activations Density 0.040%

    No Known Activations