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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. 7-RES-JB
    11. 24076
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    INDEX
    Explanations

    words related to interest or enthusiasm in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "interest" 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
    rome
    -0.72
    prus
    -0.68
    apple
    -0.64
    pex
    -0.62
     seams
    -0.62
    ut
    -0.61
    xon
    -0.61
     stacked
    -0.59
     testament
    -0.59
    abby
    -0.58
    POSITIVE LOGITS
    enza
    0.87
     Groups
    0.76
     Interest
    0.72
    ocene
    0.71
    reprene
    0.71
    ATURE
    0.70
     Rate
    0.69
     trolling
    0.68
     interest
    0.68
    phal
    0.67
    Activations Density 0.024%

    No Known Activations