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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. 3-RES-JB
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    Explanations

    references to shooting basketball shots

    oai_token-act-pair · gpt-3.5-turbo

    terms related to shooting and shots, particularly in a basketball context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.79
    edi
    -0.77
    Tok
    -0.72
    issue
    -0.68
    sg
    -0.68
    sie
    -0.67
    uning
    -0.67
    doms
    -0.66
    atom
    -0.66
    eday
    -0.66
    POSITIVE LOGITS
     alley
    0.85
     scorer
    0.84
     passer
    0.83
     coach
    0.80
     teammate
    0.80
     scrimmage
    0.80
     rebound
    0.79
     rebounds
    0.78
     catcher
    0.76
     striker
    0.76
    Activations Density 0.040%

    No Known Activations