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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23238
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    names or references to specific individuals, particularly those with the prefix "Har."

    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
     subp
    -0.70
    İĭ
    -0.69
     acron
    -0.67
     carrot
    -0.65
     guarant
    -0.63
     contrace
    -0.63
     magnification
    -0.62
    ©¶æ
    -0.61
     isot
    -0.60
    ifice
    -0.59
    POSITIVE LOGITS
    schild
    0.79
    raid
    0.75
    inton
    0.73
    inger
    0.71
    ette
    0.70
    idays
    0.67
    ã
    0.67
    unning
    0.67
    dal
    0.66
    SHA
    0.66
    Activations Density 0.122%

    No Known Activations