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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. 8560
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to attention and attention disorders

    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
     Tale
    -0.72
    tl
    -0.70
     Tosh
    -0.67
    cies
    -0.67
    tto
    -0.67
    ths
    -0.65
     Dani
    -0.64
     Mehran
    -0.64
     Rebell
    -0.62
     Za
    -0.61
    POSITIVE LOGITS
    estinal
    0.93
     spans
    0.88
     span
    0.86
    holes
    0.82
    flow
    0.82
     seeker
    0.82
    hole
    0.81
     seekers
    0.80
    orial
    0.78
    stadt
    0.77
    Activations Density 0.025%

    No Known Activations