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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. 1395
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    Explanations

    Russian or Eastern European names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    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
     overwhelming
    -0.69
     apologies
    -0.69
     bumper
    -0.67
     underdog
    -0.67
     innocence
    -0.66
     charm
    -0.65
     decency
    -0.65
     ordinances
    -0.64
     idiots
    -0.63
     mainline
    -0.63
    POSITIVE LOGITS
    oglu
    1.70
    idis
    1.68
    akis
    1.64
    ova
    1.63
    ovic
    1.61
    opoulos
    1.58
    ovsky
    1.55
    ov
    1.55
    owicz
    1.54
    owski
    1.52
    Activations Density 0.220%

    No Known Activations