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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. 7-RES-JB
    11. 5320
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    Explanations

    actions or decisions made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    actions related to seeking or pursuing something or someone

    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
    irin
    -0.63
    arta
    -0.60
    icka
    -0.60
    uded
    -0.58
     Kardash
    -0.57
    tain
    -0.57
    inav
    -0.55
     Sochi
    -0.54
    been
    -0.54
    enegger
    -0.54
    POSITIVE LOGITS
    byss
    0.70
     reluctantly
    0.67
     promptly
    0.66
     hurried
    0.66
    RET
    0.64
     anew
    0.60
     exclaim
    0.60
     instinctively
    0.60
     immediately
    0.59
     abruptly
    0.58
    Activations Density 0.703%

    No Known Activations