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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. 3-RES-JB
    11. 3687
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    Explanations

    terms related to devoted fan communities, often showing excitement or speculation about various topics such as movies, series, or games

    oai_token-act-pair · gpt-3.5-turbo

    references to fans and their engagement with content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Madness
    -0.65
     Workers
    -0.63
     Territ
    -0.62
     Proceedings
    -0.62
     Labrador
    -0.61
     Coff
    -0.60
     Towns
    -0.60
     Kamp
    -0.60
     Surgery
    -0.59
     jarring
    -0.59
    POSITIVE LOGITS
    atical
    1.09
    atically
    1.08
    atics
    1.06
    hip
    1.00
    haw
    0.98
    ubs
    0.90
    kies
    0.90
    boys
    0.85
    club
    0.83
    fare
    0.81
    Activations Density 0.025%

    No Known Activations