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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. 9-RES-JB
    11. 22993
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    Explanations

    the word "Les" in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "Les 2"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REL
    -0.71
    ACTED
    -0.68
     sailing
    -0.64
     sockets
    -0.60
    INAL
    -0.59
    ocument
    -0.58
    NG
    -0.58
    itia
    -0.57
    acted
    -0.57
    OPLE
    -0.56
    POSITIVE LOGITS
    bians
    1.23
    bian
    1.05
    nar
    0.98
    lie
    0.85
    zek
    0.83
    bos
    0.82
    alog
    0.82
     Canad
    0.79
    ham
    0.78
    ley
    0.77
    Activations Density 0.026%

    No Known Activations