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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. 9-RES-JB
    11. 5604
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    Explanations

    phrases related to diplomatic negotiations and agreements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to negotiations and agreements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orah
    -0.73
    ocument
    -0.73
    sov
    -0.72
    burst
    -0.67
    ghai
    -0.66
    fighter
    -0.66
    stuff
    -0.65
    pad
    -0.65
    sat
    -0.65
    done
    -0.63
    POSITIVE LOGITS
     regards
    1.52
     regard
    1.52
     respect
    1.17
    stood
    1.11
     impunity
    1.04
    draw
    0.93
    holding
    0.82
     coworkers
    0.81
     fellow
    0.79
     suppliers
    0.77
    Activations Density 0.192%

    No Known Activations