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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. 12800
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    Explanations

    actions or events expressed in the form of a verb preceded by a subject

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to taking action or possession

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    gian
    -0.63
    Seg
    -0.62
     Trop
    -0.58
    Win
    -0.58
    Beyond
    -0.58
    utherford
    -0.58
    uce
    -0.56
    Ü
    -0.56
    Force
    -0.56
     Trees
    -0.56
    POSITIVE LOGITS
     pictures
    1.18
     photographs
    1.16
     care
    1.12
     photos
    1.10
     pity
    1.10
     selfies
    1.10
     refuge
    1.08
     advantage
    1.07
     turns
    1.01
     pics
    1.00
    Activations Density 0.077%

    No Known Activations