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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. 10-RES-JB
    11. 815
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    Explanations

    various proper nouns and names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    998
    -0.77
     Sina
    -0.76
     Celt
    -0.76
     Kush
    -0.75
     cam
    -0.74
     Wash
    -0.74
     Torch
    -0.74
     HS
    -0.73
    Bot
    -0.73
     FML
    -0.73
    POSITIVE LOGITS
    ou
    1.61
    OU
    1.37
    hou
    1.16
    oul
    1.15
    oult
    1.10
    oud
    1.09
    Lou
    1.09
    oux
    1.09
    é
    1.05
     Fou
    1.05
    Activations Density 0.276%

    No Known Activations