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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1755
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    Explanations

    mentions of professional sports players and their activities on the field

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to sports and performance activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.65
    «ĺ
    -0.64
    icon
    -0.63
     Beir
    -0.61
    İ
    -0.61
    perial
    -0.60
     cull
    -0.60
    imb
    -0.59
    ordinate
    -0.59
    Ax
    -0.57
    POSITIVE LOGITS
    wright
    1.05
    ername
    0.92
    imony
    0.90
     played
    0.85
    tested
    0.80
    plays
    0.78
    testing
    0.78
     Played
    0.77
     Finder
    0.76
    lists
    0.76
    Activations Density 0.053%

    No Known Activations