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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. 6-RES-JB
    11. 4261
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    Explanations

    specific instances of the word "work" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "work" in various contexts related to collaboration and effort

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ylon
    -0.86
    anamo
    -0.74
     Bubble
    -0.73
    netflix
    -0.73
    antha
    -0.72
     Ukrain
    -0.68
    etsk
    -0.65
    iren
    -0.65
     Flavoring
    -0.63
    angular
    -0.63
    POSITIVE LOGITS
     ethic
    1.10
    bench
    1.09
    flows
    1.01
    hops
    1.00
     collabor
    0.96
    heet
    0.94
     tirelessly
    0.92
    horse
    0.90
    station
    0.87
    manship
    0.85
    Activations Density 0.066%

    No Known Activations