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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. 7-RES-JB
    11. 23651
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    Explanations

    phrases indicating determination or effort to accomplish a task

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing determination and effort

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UR
    -0.67
     Politics
    -0.67
    eur
    -0.63
    bent
    -0.61
     EUR
    -0.59
    prints
    -0.58
    vard
    -0.57
     rejection
    -0.57
     IB
    -0.57
     Ancest
    -0.57
    POSITIVE LOGITS
    't
    1.08
    berra
    1.08
     muster
    1.04
     feas
    1.02
     afford
    1.00
    adian
    0.90
    NOT
    0.86
     emulate
    0.86
     capitalize
    0.83
    nesota
    0.83
    Activations Density 0.068%

    No Known Activations