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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. 10-RES-JB
    6. 10965
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    Explanations

    legal and judicial terms and proceedings

    oai_token-act-pair · gpt-3.5-turbo

    references to legal arguments or notable court cases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Others
    -0.77
     others
    -0.70
    Others
    -0.68
    "],"
    -0.63
    ktop
    -0.58
     adv
    -0.58
    catentry
    -0.58
    ellery
    -0.58
    ibliography
    -0.57
     counselling
    -0.57
    POSITIVE LOGITS
     shockingly
    1.14
     ostensibly
    1.08
     inexpl
    1.04
     horrend
    0.99
     egreg
    0.97
     supposedly
    0.93
     ridiculously
    0.90
     goddamn
    0.90
     insanely
    0.90
     predictably
    0.89
    Activations Density 1.443%

    No Known Activations