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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. 4-RES-JB
    11. 876
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    Explanations

    proper nouns followed by a numeric value

    oai_token-act-pair · gpt-3.5-turbo

    the name "Jim" mentioned in various contexts

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

    No Comments

    Negative Logits
    NetMessage
    -0.89
    DragonMagazine
    -0.80
    cffff
    -0.78
    BOOK
    -0.77
    ylum
    -0.72
    Constructed
    -0.71
    Spoiler
    -0.70
    Charges
    -0.69
    Dialogue
    -0.66
     disperse
    -0.65
    POSITIVE LOGITS
    enez
    1.35
    mie
    1.17
    bo
    0.91
     Crow
    0.87
     Yong
    0.86
    iny
    0.82
    inez
    0.81
     Beam
    0.80
     Dug
    0.80
     Franco
    0.79
    Activations Density 0.009%

    No Known Activations