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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. 4-RES-JB
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    Explanations

    proper nouns related to a specific city or saint

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Saint" and its corresponding references

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

    No Comments

    Negative Logits
    BIP
    -0.88
    razil
    -0.73
    iferation
    -0.73
    PT
    -0.72
    JUST
    -0.71
    PN
    -0.70
    ORN
    -0.69
    ptin
    -0.68
    OTH
    -0.68
    ITED
    -0.67
    POSITIVE LOGITS
     Laurent
    0.93
     Louis
    0.81
    onew
    0.81
     Clair
    0.80
    arts
    0.79
    Saint
    0.76
     Saint
    0.75
     Petersburg
    0.72
     Augustine
    0.72
    clair
    0.72
    Activations Density 0.008%

    No Known Activations