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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. 7447
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    Explanations

    phrases expressing positive sentiments or desires

    oai_token-act-pair · gpt-3.5-turbo

    expressions of positive sentiment or requests for favorable outcomes

    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
     ubiqu
    -0.61
    bers
    -0.59
     rave
    -0.58
     \'
    -0.50
    morph
    -0.50
     critical
    -0.50
     totality
    -0.50
    obs
    -0.50
    onut
    -0.49
     UFOs
    -0.49
    POSITIVE LOGITS
     if
    1.11
    imaru
    0.73
    iful
    0.71
     someday
    0.70
     IF
    0.69
    lund
    0.67
    if
    0.65
    advertising
    0.61
     unless
    0.60
     If
    0.60
    Activations Density 0.128%

    No Known Activations