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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. 4-RES-JB
    11. 9524
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    Explanations

    terms related to sports events like "Rally"

    oai_token-act-pair · gpt-3.5-turbo

    references to rally events and their associated themes or elements

    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
    artney
    -0.72
    jing
    -0.67
    iband
    -0.65
    itton
    -0.64
    pher
    -0.62
    ilk
    -0.61
    obb
    -0.61
    gb
    -0.60
    >>>>>>>>
    -0.60
     Raw
    -0.59
    POSITIVE LOGITS
    ulic
    0.98
    edom
    0.75
    bys
    0.73
    bred
    0.71
    ttle
    0.71
    xon
    0.71
    roads
    0.69
    ardon
    0.69
    rer
    0.67
    sticks
    0.67
    Activations Density 0.028%

    No Known Activations