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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. 7-RES-JB
    11. 7855
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    Explanations

    information related to basketball 3-point shooting

    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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    byn
    -0.73
    schild
    -0.70
    paces
    -0.69
    hire
    -0.66
     NHS
    -0.65
    hart
    -0.65
    maid
    -0.64
    £
    -0.63
    GREEN
    -0.63
    VPN
    -0.62
    POSITIVE LOGITS
     halftime
    0.81
     conversion
    0.75
     alley
    0.74
    ception
    0.71
     shots
    0.70
     offense
    0.69
     conversions
    0.69
    ]+
    0.68
    ed
    0.67
    -+-+
    0.67
    Activations Density 0.049%

    No Known Activations