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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. 12-RES-JB
    11. 3572
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    Explanations

    names or specific terms related to a combination of sports or physical activities

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instances of specific player names and potential performance indicators in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    creen
    -0.66
    ragon
    -0.63
    anim
    -0.60
    raf
    -0.57
     responsive
    -0.57
    cale
    -0.57
    ivable
    -0.56
    fman
    -0.55
    ition
    -0.53
     humor
    -0.52
    POSITIVE LOGITS
     Rodgers
    0.70
     Clement
    0.66
     Ronaldo
    0.65
     Learned
    0.61
    PORT
    0.60
    éĹĺ
    0.58
    ETHOD
    0.58
     Hector
    0.58
     Wester
    0.57
    ħĭ
    0.57
    Activations Density 0.090%

    No Known Activations