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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. 21757
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    Explanations

    phrases related to unexpected or surprising events

    oai_token-act-pair · gpt-3.5-turbo

    statements about events that occur or are expected to occur

    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
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    No Comments

    Negative Logits
    ilts
    -0.71
    orters
    -0.65
    mens
    -0.64
    urat
    -0.60
    icrobial
    -0.59
     Flags
    -0.58
     Flavoring
    -0.56
    083
    -0.56
    imar
    -0.56
    ij士
    -0.55
    POSITIVE LOGITS
     spontaneously
    0.95
     sooner
    0.89
     everywhere
    0.88
     naturally
    0.86
     happen
    0.86
     again
    0.83
     anytime
    0.83
     anywhere
    0.82
     happening
    0.80
     catast
    0.75
    Activations Density 0.051%

    No Known Activations