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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
    11. 17844
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    Explanations

    mentions of receiving updates or offers through emails

    oai_token-act-pair · gpt-3.5-turbo

    references to receiving updates or notifications

    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
    rifice
    -0.74
    inals
    -0.74
    asus
    -0.74
    verning
    -0.73
    odor
    -0.71
    nered
    -0.70
    avery
    -0.70
    arton
    -0.70
    urdue
    -0.69
    tein
    -0.67
    POSITIVE LOGITS
     updates
    0.91
     notifications
    0.86
     Updates
    0.82
     update
    0.81
    ilver
    0.78
    peak
    0.77
    mith
    0.73
     notification
    0.72
    olitan
    0.72
    peed
    0.71
    Activations Density 0.020%

    No Known Activations