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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. 11360
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    Explanations

    specific instances of words being used

    oai_token-act-pair · gpt-3.5-turbo

    references to specific quantities or counts of items or subjects

    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
    Not in Any Lists

    No Comments

    Negative Logits
    yrinth
    -0.87
    types
    -0.68
    çī
    -0.65
    uers
    -0.63
    church
    -0.61
    sim
    -0.61
    jug
    -0.61
    rification
    -0.60
    archives
    -0.60
    thumbnails
    -0.60
    POSITIVE LOGITS
     dime
    1.27
     ounce
    1.17
    THING
    0.94
     inch
    0.93
     penny
    0.92
     whatsoever
    0.86
     mention
    0.79
    ODY
    0.77
     lick
    0.77
     nor
    0.76
    Activations Density 0.168%

    No Known Activations