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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. 1799
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    Explanations

    phrases related to different modes in a theater or game setting

    oai_token-act-pair · gpt-3.5-turbo

    the presence of theater-related terms and the end of the text marker

    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
    cest
    -0.77
    lag
    -0.70
    è¦ļéĨĴ
    -0.61
     propos
    -0.59
    nai
    -0.59
    tip
    -0.58
    maid
    -0.58
     mete
    -0.58
     retri
    -0.58
    legged
    -0.57
    POSITIVE LOGITS
     Thumbnails
    0.93
    ĸļ
    0.86
     Mode
    0.84
     Enix
    0.76
    agne
    0.74
    utsch
    0.69
     Asylum
    0.69
    enment
    0.68
    eden
    0.64
     SHARES
    0.63
    Activations Density 0.028%

    No Known Activations