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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. 9-RES-JB
    11. 16758
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    Explanations

    mentions of sports players

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports rankings and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     paran
    -0.73
     è£ıè
    -0.66
    76561
    -0.65
     scram
    -0.63
    Adds
    -0.59
    lycer
    -0.59
    paralle
    -0.59
     disapp
    -0.58
     acron
    -0.58
     Appl
    -0.57
    POSITIVE LOGITS
    ¾
    0.71
     dime
    0.61
    vana
    0.59
     Submit
    0.58
    azaki
    0.58
    uably
    0.58
    oldown
    0.57
    iration
    0.57
    jamin
    0.57
    undy
    0.56
    Activations Density 0.186%

    No Known Activations