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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 15979
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    INDEX
    Explanations

    descriptive phrases related to creatures or objects

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to wild animals and their characteristics

    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
    Ju
    -0.61
     Deg
    -0.59
    Pac
    -0.57
     Grac
    -0.57
     Maver
    -0.56
     tire
    -0.56
    zag
    -0.56
     Faust
    -0.54
     calendars
    -0.54
     Guerrero
    -0.54
    POSITIVE LOGITS
    mpire
    0.67
    arser
    0.61
    urations
    0.60
    wings
    0.59
    incible
    0.59
    ãĥł
    0.57
    acity
    0.56
    "},"
    0.56
    original
    0.54
    issance
    0.54
    Activations Density 0.944%

    No Known Activations