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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. 11-RES-JB
    11. 12687
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    Explanations

    phrases related to drawing attention

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to attention and its manipulation or distraction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tre
    -0.66
     testament
    -0.63
     Tycoon
    -0.63
     Tale
    -0.63
    mos
    -0.62
    ston
    -0.61
    nian
    -0.61
     cert
    -0.61
    ylene
    -0.60
    lins
    -0.60
    POSITIVE LOGITS
     span
    1.17
     spans
    1.11
    grab
    0.87
     attention
    0.84
     seekers
    0.83
    orial
    0.82
     Cortex
    0.81
     grabbing
    0.80
     seeker
    0.80
    span
    0.75
    Activations Density 0.063%

    No Known Activations