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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19201
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to countries and their respective states or regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    tumblr
    -0.79
    anwhile
    -0.76
    htaking
    -0.69
    odynam
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    intensive
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    hern
    -0.67
    gmail
    -0.65
    ournals
    -0.65
    Downloadha
    -0.64
    odynamic
    -0.64
    POSITIVE LOGITS
    lde
    0.72
    issance
    0.69
    isers
    0.65
    unda
    0.65
    anchester
    0.64
    repeat
    0.61
    lishes
    0.60
    export
    0.60
     withdrew
    0.59
     Bundes
    0.58
    Activations Density 0.252%

    No Known Activations