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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. 24167
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    INDEX
    Explanations

    the word "plus" used with numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to addition or positive increments

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    dfx
    -0.78
    ruary
    -0.78
    adr
    -0.71
    wolf
    -0.70
    ugu
    -0.69
    abies
    -0.68
    prototype
    -0.67
     Sparkle
    -0.67
    clinton
    -0.66
    anned
    -0.65
    POSITIVE LOGITS
    cules
    1.15
    minus
    0.81
    henko
    0.75
    ï¸
    0.72
    ++++
    0.71
     infinity
    0.69
    -+-+-+-+
    0.68
    illary
    0.66
    leep
    0.66
    /-
    0.66
    Activations Density 0.036%

    No Known Activations