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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. 2-RES-JB
    11. 6263
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    Explanations

    references to competitive relationships and rivalries

    oai_token-act-pair · gpt-3.5-turbo

    references to rivals and competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cer
    -0.86
    BN
    -0.70
    nia
    -0.68
    plane
    -0.66
    IFF
    -0.64
    nce
    -0.63
    Ott
    -0.61
    Ħ¢
    -0.61
    lich
    -0.60
    ston
    -0.60
    POSITIVE LOGITS
    hip
    1.35
    paces
    1.20
    hips
    1.20
    poons
    1.13
    ettings
    1.05
    mith
    1.04
    uggest
    1.04
    ervatives
    1.00
    omething
    1.00
    pace
    0.99
    Activations Density 0.087%

    No Known Activations