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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. 22730
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    Explanations

    phrases related to community engagement and feedback

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their significance in the text

    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
    —
    -0.82
    ensical
    -0.77
    )—
    -0.75
    "—
    -0.72
    —"
    -0.70
     Rodham
    -0.70
    Å«
    -0.67
    Enlarge
    -0.66
    ,[
    -0.63
    uscript
    -0.63
    POSITIVE LOGITS
     namely
    1.20
     ie
    1.13
    but
    1.07
     etc
    1.07
     haha
    1.02
     Whilst
    1.01
     whilst
    1.00
     whereas
    1.00
     BUT
    0.99
     hence
    0.99
    Activations Density 0.642%

    No Known Activations