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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. 2-RES-JB
    11. 24130
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -1.01
    aminer
    -0.78
    EStream
    -0.75
    abwe
    -0.72
     srf
    -0.71
    lished
    -0.67
     dime
    -0.66
    undai
    -0.66
    pload
    -0.62
     rusher
    -0.60
    POSITIVE LOGITS
    ocate
    1.20
    owing
    1.19
    ocated
    1.18
    igator
    1.14
    ocating
    1.12
    ocation
    1.11
    iance
    1.05
    iances
    1.03
    ergic
    1.00
    ocations
    0.99
    Activations Density 0.026%

    No Known Activations