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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    the word "mart"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mart" and its variations

    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
     Anchorage
    -0.66
     Ankara
    -0.64
    mitting
    -0.62
    bare
    -0.62
    CHO
    -0.62
     Tul
    -0.62
     Bee
    -0.62
     Niet
    -0.62
     Akin
    -0.62
    576
    -0.61
    POSITIVE LOGITS
    mart
    1.09
    inez
    1.02
    ukong
    1.00
    inet
    0.99
    ertodd
    0.86
    andise
    0.83
    itsu
    0.83
    ards
    0.82
    ooth
    0.82
    ously
    0.80
    Activations Density 0.008%

    No Known Activations