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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. 22382
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    Explanations

    instances of specific events occurring

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "happened" in relation to events or incidents

    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
    arta
    -0.88
    tan
    -0.84
    ench
    -0.83
    hart
    -0.81
    entric
    -0.81
    uffed
    -0.80
    rylic
    -0.79
    ilings
    -0.76
    cipled
    -0.76
    ently
    -0.76
    POSITIVE LOGITS
    cffffcc
    0.89
     Canaver
    0.88
     Ambro
    0.80
     Weinstein
    0.78
     unfolding
    0.78
     Pax
    0.72
     perpetrated
    0.72
    âĹ¼
    0.70
     Ukrain
    0.70
     Thurs
    0.70
    Activations Density 0.032%

    No Known Activations