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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. 9106
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    Explanations

    proper nouns or specific terms preceded by the word "Out" (e.g., "Outline", "Out of Touch")

    oai_token-act-pair · gpt-3.5-turbo

    the word "Out" in various contexts

    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
     arsen
    -0.75
     Brach
    -0.72
     Mub
    -0.67
     Watkins
    -0.64
     Nadu
    -0.62
     McAuliffe
    -0.60
     Ves
    -0.59
    hetti
    -0.59
    ione
    -0.57
     Emin
    -0.56
    POSITIVE LOGITS
    rage
    1.42
    landish
    1.41
    dated
    1.36
    doors
    1.36
    door
    1.33
    standing
    1.30
    raged
    1.28
    spoken
    1.26
    numbered
    1.26
    comes
    1.26
    Activations Density 0.037%

    No Known Activations