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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. 3-RES-JB
    11. 6981
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    Explanations

    mentions of the city "Srinagar"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "rin"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hurricanes
    -0.76
    eatures
    -0.72
     fateful
    -0.66
    gom
    -0.64
     Seym
    -0.64
     stakes
    -0.63
     smart
    -0.62
    gettable
    -0.62
     therap
    -0.61
     mileage
    -0.60
    POSITIVE LOGITS
    ners
    1.01
    ned
    1.00
    ergic
    0.93
    rin
    0.93
    quin
    0.91
    stal
    0.90
    ning
    0.89
    åĤ
    0.89
    ja
    0.88
    ivas
    0.87
    Activations Density 0.007%

    No Known Activations