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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    occurrences of the word "talks" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "talks" in various contexts

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

    No Comments

    Negative Logits
    olls
    -0.69
    CTV
    -0.67
    ross
    -0.65
    ract
    -0.65
    ographic
    -0.62
    served
    -0.62
    reci
    -0.62
    Lake
    -0.61
    lesi
    -0.61
    ãģĹ
    -0.60
    POSITIVE LOGITS
    pace
    0.91
     negotiations
    0.87
     Talks
    0.87
     talks
    0.87
    paces
    0.80
     negotiation
    0.76
    hran
    0.76
    afety
    0.76
    ogue
    0.75
     negotiator
    0.74
    Activations Density 0.022%

    No Known Activations