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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. 11-RES-JB
    11. 1159
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    INDEX
    Explanations

    baking instructions and temperatures

    oai_token-act-pair · gpt-3.5-turbo

    cooking instructions and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     acknowled
    -0.70
    choes
    -0.68
     reimbursement
    -0.67
    mbuds
    -0.65
     endorsements
    -0.64
    chairs
    -0.63
     infinity
    -0.63
     reimb
    -0.63
    }}}
    -0.62
     intrusive
    -0.61
    POSITIVE LOGITS
    Heat
    1.08
     Combine
    1.07
    Comb
    1.03
     combine
    0.99
     chop
    0.94
     Heat
    0.94
     thinly
    0.94
     Prepare
    0.93
     whisk
    0.93
     Peel
    0.90
    Activations Density 0.086%

    No Known Activations