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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. 6-RES-JB
    11. 12311
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    Explanations

    terms related to interest or popularity in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "interest" in various contexts

    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
    apple
    -0.67
    llan
    -0.67
    rome
    -0.67
     seams
    -0.65
    prus
    -0.63
    abby
    -0.62
    é¾į
    -0.60
    sung
    -0.59
    pex
    -0.59
    illa
    -0.58
    POSITIVE LOGITS
    ATURE
    0.77
    enza
    0.77
    reprene
    0.73
     Groups
    0.73
     rate
    0.72
     Interest
    0.72
    ties
    0.70
     trolling
    0.70
     Rate
    0.69
    ocene
    0.69
    Activations Density 0.021%

    No Known Activations