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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. 914
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    INDEX
    Explanations

    phrases related to modification or improvement

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "bespoke" and its variations

    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
    ALLY
    -0.77
    Reviewer
    -0.69
    vation
    -0.63
    atorium
    -0.62
    ãĥ¼ãĥĨ
    -0.61
    rats
    -0.61
     Vie
    -0.61
    ITION
    -0.60
     Hamm
    -0.59
    ition
    -0.59
    POSITIVE LOGITS
    iege
    1.11
    erker
    1.09
    sembly
    0.94
    hirt
    0.93
    ignt
    0.90
    aved
    0.88
    pread
    0.88
    poke
    0.87
    esh
    0.87
    entimes
    0.87
    Activations Density 0.056%

    No Known Activations