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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. 3-RES-JB
    11. 6358
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    Explanations

    Special characters in specific configurations

    oai_token-act-pair · gpt-3.5-turbo

    characters or symbols frequently found in visual or textual representations, possibly related to screen content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.73
     mole
    -0.68
    ktop
    -0.65
    udeb
    -0.64
    cko
    -0.63
     Charlottesville
    -0.62
    eanor
    -0.62
     Gutenberg
    -0.62
    aminer
    -0.61
    ĸļ
    -0.60
    POSITIVE LOGITS
    اÙĦ
    0.96
    Ĥ
    0.89
    agin
    0.89
    ading
    0.85
    د
    0.85
    ¯¯¯¯
    0.84
    à¤
    0.84
    ITAL
    0.82
    ãĥ¥
    0.81
    ALS
    0.81
    Activations Density 0.005%

    No Known Activations