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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 6-RES-JB
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    Explanations

    mentions of the brand "Marvel"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Marvel franchise

    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
    ngth
    -0.75
    skirts
    -0.73
    gger
    -0.71
    debian
    -0.67
    cki
    -0.66
    perse
    -0.66
     Adin
    -0.66
    tery
    -0.65
    Redditor
    -0.65
    tons
    -0.64
    POSITIVE LOGITS
     Comics
    1.15
     Studios
    1.05
    ously
    0.94
    ous
    0.94
     Cinem
    0.91
     Entertainment
    0.83
     superheroes
    0.82
     Wire
    0.79
     Adventures
    0.78
     Bros
    0.77
    Activations Density 0.019%

    No Known Activations