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    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. 18017
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    href
    -0.65
     Watson
    -0.64
    ouri
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    Land
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    âĹı
    -0.63
     Schultz
    -0.62
     PNG
    -0.62
    Wall
    -0.61
    Bee
    -0.61
     SNAP
    -0.60
    POSITIVE LOGITS
    rupulous
    0.77
    ãĤ´ãĥ³
    0.76
    =#
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    ursed
    0.75
    tsky
    0.75
    alez
    0.71
     arr
    0.70
    ignty
    0.70
     coats
    0.68
    osate
    0.67
    Activations Density 0.141%

    No Known Activations