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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. 9-RES-JB
    11. 16674
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    Explanations

    mentions of fans in various contexts, possibly related to media, sports, or entertainment

    oai_token-act-pair · gpt-3.5-turbo

    references to fans and their engagement or reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abus
    -0.67
    innon
    -0.66
    utory
    -0.63
     Rog
    -0.59
     Clinical
    -0.59
     MacArthur
    -0.58
     spac
    -0.58
     Labrador
    -0.58
     Startup
    -0.57
    ateral
    -0.56
    POSITIVE LOGITS
    erv
    1.19
    haw
    1.12
    atics
    1.09
    atical
    1.08
    ubs
    1.06
    boys
    1.04
    hip
    1.02
    fare
    0.92
    hips
    0.92
    atically
    0.91
    Activations Density 0.038%

    No Known Activations