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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
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    Explanations

    mentions of correspondents for media outlets

    oai_token-act-pair · gpt-3.5-turbo

    mentions of correspondents and columnists in media contexts

    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
    wagen
    -0.80
    ateral
    -0.78
    zik
    -0.75
    omething
    -0.72
    istry
    -0.69
    asonic
    -0.69
    ujah
    -0.68
    liga
    -0.68
    ulic
    -0.67
     signalling
    -0.66
    POSITIVE LOGITS
     columnist
    0.98
    ials
    0.94
     Jonah
    0.91
     laureate
    0.87
     Conan
    0.81
     editor
    0.80
     Noah
    0.79
     Stephen
    0.77
    ially
    0.77
     Katie
    0.75
    Activations Density 0.068%

    No Known Activations