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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. 9-RES-JB
    11. 13809
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    INDEX
    Explanations

    calls to action involving signing up for services

    oai_token-act-pair · gpt-3.5-turbo

    signals of excitement or enthusiasm in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     routine
    -0.60
     otherwise
    -0.59
    CHR
    -0.58
    ounter
    -0.57
     lit
    -0.56
    aimon
    -0.55
     SUP
    -0.54
    worldly
    -0.53
     Dise
    -0.53
     Herrera
    -0.53
    POSITIVE LOGITS
    ing
    1.62
    quartered
    1.07
    ed
    1.04
    ificant
    0.94
    ificantly
    0.93
    osate
    0.89
    fax
    0.88
    icut
    0.85
    ership
    0.82
    quarters
    0.80
    Activations Density 0.266%

    No Known Activations