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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. 17482
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    Explanations

    legal or argumentative language, focusing on the concept of "grounds"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference justifications or reasons for actions or decisions

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Lomb
    -0.73
     Sins
    -0.67
    apt
    -0.65
     Merc
    -0.63
     Prediction
    -0.62
    eng
    -0.61
    eco
    -0.60
    thal
    -0.59
    usterity
    -0.58
     centralized
    -0.57
    POSITIVE LOGITS
     grounds
    1.18
    keepers
    1.05
    keeper
    0.99
    grounds
    0.90
    GROUND
    0.85
     Grounds
    0.85
    ground
    0.79
    stones
    0.78
    Reviewer
    0.78
    cover
    0.77
    Activations Density 0.011%

    No Known Activations