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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. 17273
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    Explanations

    expressions conveying strong emotion or urgency

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotions or reactions

    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
     contag
    -0.68
    isers
    -0.67
    ãĥ¼ãĥĨãĤ£
    -0.65
    ocratic
    -0.65
     vested
    -0.62
    umers
    -0.61
    artz
    -0.61
     curator
    -0.60
     wealthier
    -0.60
    leneck
    -0.60
    POSITIVE LOGITS
    etc
    0.95
    mmmm
    0.90
    lol
    0.85
    !!!!!
    0.84
    !!!
    0.82
    WOR
    0.81
    !!
    0.80
    php
    0.80
    edited
    0.78
    really
    0.78
    Activations Density 0.044%

    No Known Activations