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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. 4-RES-JB
    11. 24113
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    Explanations

    terms related to animals, specifically calves

    oai_token-act-pair · gpt-3.5-turbo

    mentions of calves and the location Caldwell

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

    No Comments

    Negative Logits
    eering
    -0.70
    ++++++++++++++++
    -0.70
    nergy
    -0.69
    htar
    -0.69
    NING
    -0.69
    nant
    -0.68
     Parenthood
    -0.67
    rawdownloadcloneembedreportprint
    -0.66
    nings
    -0.66
     Holt
    -0.66
    POSITIVE LOGITS
    ocamp
    0.91
    notes
    0.91
    ature
    0.89
    note
    0.84
    dragon
    0.77
    unia
    0.75
    sis
    0.73
    opard
    0.71
    iffe
    0.70
    pter
    0.70
    Activations Density 0.020%

    No Known Activations