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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. 1995
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    INDEX
    Explanations

    mentions of standout or notable players in sports

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports performance and player evaluations

    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
    upon
    -0.73
     externalToEVAOnly
    -0.72
     apologise
    -0.69
     apologised
    -0.68
    ĸļ
    -0.65
    abb
    -0.63
     Cath
    -0.63
    Published
    -0.63
    yss
    -0.63
    onduct
    -0.62
    POSITIVE LOGITS
     sleeper
    1.27
     handc
    1.09
     contenders
    1.07
     contender
    1.05
     dynasty
    1.04
     favorites
    1.00
     frontrunner
    1.00
     stash
    0.92
     ceiling
    0.91
    Draft
    0.90
    Activations Density 0.310%

    No Known Activations