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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
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    Explanations

    the phrase "come up with."

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "come up," indicating a focus on ideas, solutions, or concepts being generated or proposed

    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
    Reviewed
    -0.67
     CLSID
    -0.61
    "]=>
    -0.59
    iquid
    -0.58
     isot
    -0.58
    Synopsis
    -0.57
     cac
    -0.56
     Austral
    -0.55
    gee
    -0.55
    cise
    -0.55
    POSITIVE LOGITS
    river
    0.89
    stairs
    0.81
    stage
    0.79
    adesh
    0.76
    olicy
    0.75
    cycles
    0.71
    etter
    0.70
    án
    0.68
    minster
    0.68
    sted
    0.67
    Activations Density 0.018%

    No Known Activations