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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. 4-RES-JB
    11. 1164
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    Explanations

    terms related to the goals or aims of various studies, projects, or workshops

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to aims, goals, and objectives

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

    No Comments

    Negative Logits
    mph
    -0.67
    Latest
    -0.66
    Oracle
    -0.66
     Beet
    -0.66
     Drops
    -0.65
    flush
    -0.64
     shred
    -0.63
     Wolves
    -0.62
    Abyss
    -0.61
     Races
    -0.61
    POSITIVE LOGITS
     goal
    0.83
    gha
    0.73
     purpose
    0.72
    irt
    0.72
     pursued
    0.69
    Goal
    0.69
     takeaway
    0.68
     objective
    0.67
     reason
    0.67
    ensity
    0.67
    Activations Density 0.100%

    No Known Activations