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

    the word "burst"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "burst" 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
    guyen
    -0.94
    ¥µ
    -0.88
    urai
    -0.79
    ativity
    -0.76
    ammy
    -0.74
    ĻĤ
    -0.73
    cling
    -0.72
    onsense
    -0.71
    pport
    -0.71
    ©¶æ
    -0.71
    POSITIVE LOGITS
     burst
    0.99
    aneously
    0.92
     bursting
    0.92
     Burst
    0.89
    burst
    0.87
     bursts
    0.86
    Bang
    0.75
     overfl
    0.75
    bang
    0.73
    waters
    0.73
    Activations Density 0.009%

    No Known Activations