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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. 10-RES-JB
    11. 8597
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    Explanations

    terms related to company actions and operations

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to approval and disapproval in various contexts

    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
     oneself
    -0.63
    aturdays
    -0.63
     highs
    -0.63
     Highlights
    -0.62
    icipated
    -0.61
     classmates
    -0.59
     Dancing
    -0.58
    olitical
    -0.58
    selage
    -0.58
     comrades
    -0.57
    POSITIVE LOGITS
     theirs
    0.98
     sponsoring
    0.84
     intervene
    0.81
     respons
    0.78
     forbid
    0.78
     meddling
    0.77
     approving
    0.75
    uthor
    0.73
     intervening
    0.72
     approve
    0.71
    Activations Density 0.802%

    No Known Activations