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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. 3-RES-JB
    11. 10792
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    Explanations

    terms related to skills or abilities

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of skills

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    romeda
    -0.81
     Pall
    -0.67
     Reloaded
    -0.66
    clipse
    -0.62
     arbitrary
    -0.61
     Wilhelm
    -0.60
     Mald
    -0.58
    pse
    -0.58
    arna
    -0.57
    gran
    -0.57
    POSITIVE LOGITS
     skills
    0.98
    anooga
    0.98
     training
    0.90
    cape
    0.86
     proficiency
    0.86
    poke
    0.86
    linger
    0.85
    learn
    0.82
    mith
    0.82
     chops
    0.81
    Activations Density 0.014%

    No Known Activations