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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. 10-RES-JB
    11. 12270
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    INDEX
    Explanations

    words related to professional skills and experience

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating assumptions or prerequisites for prior knowledge or experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.79
    Returns
    -0.73
    issions
    -0.72
    estyles
    -0.71
    aturdays
    -0.69
    ģĸ
    -0.68
    vernment
    -0.68
    versible
    -0.67
    oche
    -0.66
    ouri
    -0.66
    POSITIVE LOGITS
     familiarity
    1.51
     knowledge
    1.35
     understanding
    1.29
     expertise
    1.26
     grasp
    1.20
     skills
    1.15
    knowledge
    1.13
    Know
    1.10
     vers
    1.05
     proficiency
    1.04
    Activations Density 0.500%

    No Known Activations