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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. 20641
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    Explanations

    terms related to high achievement or performance in sports

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports players' scoring abilities and rankings

    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
    illy
    -0.64
     exting
    -0.62
    axis
    -0.61
    sett
    -0.59
    isal
    -0.59
    utt
    -0.58
    abus
    -0.58
    yss
    -0.58
    anus
    -0.58
     peninsula
    -0.57
    POSITIVE LOGITS
    smanship
    0.70
     drafted
    0.70
     extraord
    0.70
     (>
    0.70
     imaginable
    0.69
     caliber
    0.69
     (.
    0.69
    digy
    0.69
    achev
    0.69
     scorer
    0.68
    Activations Density 0.117%

    No Known Activations