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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. 11-RES-JB
    11. 1588
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    Explanations

    words related to specific concepts or objects rather than general topics

    oai_token-act-pair · gpt-3.5-turbo

    terminologies related to mathematical or theoretical concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.83
    fml
    -0.77
    ľ
    -0.76
    ij士
    -0.76
    »Ĵ
    -0.74
    ģ«
    -0.73
     Marketable
    -0.72
    stellar
    -0.71
    worldly
    -0.71
    ompl
    -0.70
    POSITIVE LOGITS
     fallacy
    1.56
     hypothesis
    1.53
     phenomenon
    1.44
     analogy
    1.43
     loophole
    1.38
     dilemma
    1.36
     theorem
    1.34
     trope
    1.32
     concept
    1.26
     debacle
    1.25
    Activations Density 0.693%

    No Known Activations