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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. 7-RES-JB
    11. 9784
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific identifiers and terms related to external references or categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Azerb
    -0.54
    zai
    -0.50
     NCT
    -0.49
     UNESCO
    -0.47
    talk
    -0.45
     practition
    -0.44
     clim
    -0.44
     âĶľâĶĢâĶĢ
    -0.43
     DOE
    -0.43
     KH
    -0.43
    POSITIVE LOGITS
    ãĥ¥
    0.60
    volent
    0.55
    MpServer
    0.55
    Pg
    0.54
    ufact
    0.53
    seless
    0.51
     Mechdragon
    0.51
    entimes
    0.50
    éĸ
    0.49
    ont
    0.48
    Activations Density 1.227%

    No Known Activations