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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. 11-RES-JB
    11. 9158
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    Explanations

    words related to locations, especially with a focus on cities, buildings, and universities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "or"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    es
    -0.62
     sort
    -0.61
    scl
    -0.59
     same
    -0.57
    eenth
    -0.56
    sr
    -0.55
     Wall
    -0.55
     Upton
    -0.53
    esville
    -0.52
    advertisement
    -0.52
    POSITIVE LOGITS
    izons
    1.22
    ussia
    1.14
    izont
    1.10
    ussian
    1.05
    bid
    1.02
    rent
    0.97
    chid
    0.96
    izontal
    0.96
    relation
    0.96
    nton
    0.95
    Activations Density 0.065%

    No Known Activations