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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. 1706
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    Explanations

    words related to physical disabilities and equipment in sports

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports, particularly focusing on Paralympic athletes and their experiences

    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
    imar
    -0.84
    izoph
    -0.83
    ities
    -0.83
    ibal
    -0.79
    nel
    -0.79
    ieties
    -0.74
    riages
    -0.74
    iew
    -0.71
    icides
    -0.70
    vier
    -0.70
    POSITIVE LOGITS
     Turing
    1.04
    PLE
    0.77
    otle
    0.75
    comed
    0.71
    AKING
    0.71
    teness
    0.68
    mony
    0.67
    kamp
    0.65
     Athlet
    0.64
    nda
    0.64
    Activations Density 0.034%

    No Known Activations