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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. 14720
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    Explanations

    words related to streets, names, and locations

    oai_token-act-pair · gpt-3.5-turbo

    the word "le" in various contexts

    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
    rador
    -0.90
    iaries
    -0.88
    yrinth
    -0.86
     Seym
    -0.85
    ĸļ
    -0.85
    raint
    -0.83
    é¾
    -0.82
    raints
    -0.81
    inelli
    -0.80
    isites
    -0.78
    POSITIVE LOGITS
    ttes
    1.31
    lla
    1.15
    agues
    1.10
    isure
    0.99
    phant
    0.94
    phrine
    0.90
    utenant
    0.89
    rene
    0.87
    conom
    0.84
    brate
    0.84
    Activations Density 0.038%

    No Known Activations