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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 4231
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    INDEX
    Explanations

    mentions of sport events and players

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

    references to trades and transactions 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
    puff
    -0.69
    OLOGY
    -0.68
    indal
    -0.66
    ega
    -0.65
     Kappa
    -0.64
    osate
    -0.64
    ="#
    -0.64
     Meter
    -0.63
    "},{"
    -0.63
    regon
    -0.62
    POSITIVE LOGITS
     trades
    1.35
     trade
    1.31
     offseason
    1.29
     signings
    1.15
     deadline
    1.14
     drafts
    1.11
    Trade
    1.06
    trade
    1.06
     free
    1.05
     trading
    1.05
    Activations Density 0.245%

    No Known Activations