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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. 9-RES-JB
    11. 17633
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    Explanations

    dates written with a period in between

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and numerical sequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.78
     consolidation
    -0.70
    iferation
    -0.70
    incial
    -0.69
    ategic
    -0.66
     pollutants
    -0.66
     circulation
    -0.65
    alist
    -0.65
     tumult
    -0.64
    pmwiki
    -0.63
    POSITIVE LOGITS
     Sawyer
    0.83
    Dad
    0.80
     Bunny
    0.77
     Photography
    0.75
     Dane
    0.75
     POV
    0.74
     Nose
    0.74
    Connor
    0.74
    Jr
    0.73
     eldest
    0.73
    Activations Density 0.290%

    No Known Activations