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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. 9-RES-JB
    6. 11999
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lifes
    -0.84
     pract
    -0.80
     occupations
    -0.79
     actu
    -0.79
     decriminal
    -0.78
     reflex
    -0.77
     clerks
    -0.77
     statistical
    -0.77
     mosqu
    -0.76
     disadvantaged
    -0.74
    POSITIVE LOGITS
    advertising
    1.19
     Speaking
    1.17
    Fans
    1.16
    Speaking
    1.12
    Rum
    1.10
     Interestingly
    1.09
     Previously
    1.05
    Previously
    1.05
     Regarding
    1.03
     Additionally
    1.03
    Activations Density 0.496%

    No Known Activations