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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. 0-RES-JB
    11. 19959
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    Explanations

    instances of sentences expressing satisfaction or approval

    oai_token-act-pair · gpt-3.5-turbo

    expressions of satisfaction or happiness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    age
    -0.70
    Timeout
    -0.67
    apse
    -0.63
    olan
    -0.62
    eral
    -0.61
     spiral
    -0.60
     Sag
    -0.60
     500
    -0.60
    ster
    -0.58
    ade
    -0.56
    POSITIVE LOGITS
     pleased
    3.70
     delighted
    2.24
     thrilled
    2.06
     amused
    1.86
     satisfied
    1.85
     impressed
    1.76
     disple
    1.72
     disappointed
    1.60
     happy
    1.59
     proud
    1.59
    Activations Density 0.018%

    No Known Activations