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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. 11-RES-JB
    11. 14765
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    Explanations

    adjectives or descriptive words related to moral or ethical concepts

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and phrases that express moral judgments or qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oops
    -0.78
    racuse
    -0.75
     Shots
    -0.69
    ADRA
    -0.68
     interns
    -0.67
    everal
    -0.63
     Pages
    -0.62
     noses
    -0.62
     teasp
    -0.61
     Yards
    -0.61
    POSITIVE LOGITS
     insofar
    1.28
     everywhere
    0.99
     unto
    0.95
     irrespective
    0.90
     intrinsically
    0.87
     indeed
    0.87
     intellectually
    0.85
    anthrop
    0.82
     wherever
    0.82
     empir
    0.82
    Activations Density 0.269%

    No Known Activations