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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. 7-RES-JB
    11. 17749
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    Explanations

    phrases indicating likelihood or probability

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing probabilities and potential outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utch
    -0.76
    zeb
    -0.75
    elight
    -0.74
    artney
    -0.73
    eal
    -0.72
    ils
    -0.72
    hes
    -0.70
    ilver
    -0.70
    oba
    -0.69
    liga
    -0.67
    POSITIVE LOGITS
     underest
    0.72
     underestimate
    0.70
     exaggeration
    0.68
     Regist
    0.67
     Rasm
    0.67
     someday
    0.65
     claimants
    0.65
     Russians
    0.64
     RSS
    0.63
     Robots
    0.63
    Activations Density 0.113%

    No Known Activations