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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. 5286
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    Explanations

    phrases related to different leagues like "National Football League" and "American League"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "League" across various contexts

    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
    ãĥĦ
    -0.92
    anamo
    -0.83
    ãĤ¨ãĥ«
    -0.82
    ledged
    -0.77
    =~=~
    -0.74
    icago
    -0.73
    ãĥį
    -0.73
    ricular
    -0.72
    imura
    -0.70
    tesy
    -0.70
    POSITIVE LOGITS
    naire
    0.80
     Unlimited
    0.77
    HF
    0.73
    League
    0.71
     Agreement
    0.71
    asso
    0.70
    Players
    0.69
     League
    0.69
    assic
    0.66
     Network
    0.65
    Activations Density 0.015%

    No Known Activations