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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. 2-RES-JB
    11. 14124
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    Explanations

    specific words related to the name "Le" or "Lez" (e.g., "Le", "lez", "Lé")

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific brand or product

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atively
    -0.80
     quo
    -0.74
    onom
    -0.69
     haw
    -0.65
    gew
    -0.62
    erves
    -0.62
    awar
    -0.61
    insula
    -0.60
    ihad
    -0.60
     contem
    -0.60
    POSITIVE LOGITS
    pton
    0.98
    lé
    0.95
    tons
    0.94
    alog
    0.83
    borgh
    0.80
    allic
    0.80
    da
    0.80
     Dunk
    0.78
    illard
    0.77
    urgy
    0.74
    Activations Density 0.016%

    No Known Activations