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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. 4-RES-JB
    11. 12497
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    Explanations

    basewords related to actions or processes ending in "ing" or the word "point"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "basing."

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

    No Comments

    Negative Logits
     Oaks
    -0.83
     Huntington
    -0.67
     Ack
    -0.65
     Loving
    -0.65
     Olsen
    -0.64
    istor
    -0.64
     Toll
    -0.63
    markets
    -0.63
    WIND
    -0.63
    OPE
    -0.62
    POSITIVE LOGITS
    sembly
    1.02
    ility
    0.87
    emen
    0.84
    eties
    0.82
    imet
    0.81
    ilar
    0.80
    uit
    0.80
    uity
    0.79
    ilities
    0.76
    abase
    0.76
    Activations Density 0.007%

    No Known Activations