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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. 5274
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    Explanations

    phrases related to attention-seeking behavior or events

    oai_token-act-pair · gpt-3.5-turbo

    words related to stunts and pranks

    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
    ishops
    -0.74
    oice
    -0.73
    uni
    -0.72
    oan
    -0.72
    vironment
    -0.67
    onyms
    -0.67
    iott
    -0.65
    intendo
    -0.65
    ailable
    -0.65
    utra
    -0.65
    POSITIVE LOGITS
     stunt
    0.97
     stunts
    0.95
    monkey
    0.77
    smanship
    0.77
    hered
    0.74
     antics
    0.73
    ulence
    0.72
    wcsstore
    0.71
    strip
    0.71
    ORTS
    0.71
    Activations Density 0.009%

    No Known Activations