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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. 4-RES-JB
    6. 21451
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    INDEX
    Explanations

    words related to being interested or showing interest in something

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept 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 @ 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
    apple
    -0.70
    é¾į
    -0.66
    rome
    -0.63
     stacked
    -0.63
     helicop
    -0.63
    llan
    -0.61
    abby
    -0.60
     sled
    -0.60
     bunk
    -0.59
     seams
    -0.59
    POSITIVE LOGITS
     interest
    0.81
     Interest
    0.79
    enza
    0.77
    ="#
    0.74
     trolling
    0.73
    ATURE
    0.73
    edIn
    0.71
     interested
    0.70
    topic
    0.68
     curiosity
    0.66
    Activations Density 0.018%

    No Known Activations