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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
    11. 10872
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    Explanations

    names of locations, particularly related to emergency situations or incidents

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and locations

    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
    ual
    -0.89
    tal
    -0.77
    eries
    -0.75
    kat
    -0.74
    ancies
    -0.74
    assic
    -0.73
    uel
    -0.73
    staff
    -0.72
    pak
    -0.70
    alions
    -0.70
    POSITIVE LOGITS
     streng
    0.70
     Parenthood
    0.66
     sap
    0.66
    zyme
    0.59
     cooker
    0.59
     arom
    0.59
    gins
    0.58
     Syri
    0.57
    cuts
    0.57
     antioxid
    0.57
    Activations Density 0.020%

    No Known Activations