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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. 0-RES-JB
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    Explanations

    mentions of the name "ahn."

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Kahn" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disposable
    -0.71
     supported
    -0.68
     crucifix
    -0.65
     Supported
    -0.65
     sequ
    -0.63
    Support
    -0.62
     corpor
    -0.62
     Aqua
    -0.60
     yesterday
    -0.60
     aquarium
    -0.59
    POSITIVE LOGITS
    ahn
    4.60
     Kahn
    1.29
    hn
    1.19
    ahl
    1.19
    ohn
    1.14
    ah
    1.08
    hm
    1.07
    han
    1.06
    OHN
    1.01
    ritz
    0.98
    Activations Density 0.018%

    No Known Activations