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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. 2733
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    Explanations

    mentions of basketball players and big plays in basketball

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

    references to significant individuals or entities 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
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    No Comments

    Negative Logits
    ©¶æ
    -0.62
    irc
    -0.61
    rers
    -0.60
    ILA
    -0.59
     Guides
    -0.59
    Methods
    -0.59
    ECK
    -0.59
    illation
    -0.57
    âĸ¬
    -0.57
    ebus
    -0.57
    POSITIVE LOGITS
     man
    0.82
     men
    0.79
    bodied
    0.77
    gio
    0.73
    ificant
    0.71
     moments
    0.69
    money
    0.69
    name
    0.69
    s
    0.67
     name
    0.67
    Activations Density 0.054%

    No Known Activations