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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
    11. 9042
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    Explanations

    phrases related to basketball, specifically focusing on three-point shots

    oai_token-act-pair · gpt-3.5-turbo

    references to three-point shooting in basketball

    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
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    Negative Logits
     notor
    -0.85
    natureconservancy
    -0.70
    omsky
    -0.68
    ãĥīãĥ©
    -0.67
     tradem
    -0.67
     unequ
    -0.65
    ô
    -0.65
    iverpool
    -0.64
    avorite
    -0.64
    hett
    -0.64
    POSITIVE LOGITS
    point
    1.06
    edly
    0.92
    bidden
    0.82
    eus
    0.81
    points
    0.79
    ed
    0.76
    iasis
    0.76
    finding
    0.75
    ing
    0.73
    holder
    0.71
    Activations Density 0.010%

    No Known Activations