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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. 2-RES-JB
    11. 12052
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    Explanations

    expressions indicating satisfaction or contentment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of satisfaction or contentment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nature
    -0.78
    artifacts
    -0.71
    planes
    -0.71
    pmwiki
    -0.70
    plane
    -0.70
    ker
    -0.67
    origin
    -0.63
    Asia
    -0.63
    sites
    -0.63
    site
    -0.63
    POSITIVE LOGITS
     satisfied
    1.23
     Satisf
    1.07
     satisfaction
    1.03
     satisfy
    0.95
     satisfies
    0.93
    iated
    0.93
    atisf
    0.92
    lehem
    0.88
    actory
    0.83
     satisf
    0.82
    Activations Density 0.016%

    No Known Activations