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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
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    Explanations

    mentions of the word "ir" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "ir."

    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
    ļé
    -0.75
    ĸļ
    -0.73
    YC
    -0.73
     Vinyl
    -0.70
    erker
    -0.68
     untreated
    -0.63
     comma
    -0.62
     Pound
    -0.61
    Ĥª
    -0.61
     Takeru
    -0.61
    POSITIVE LOGITS
    rha
    1.07
    vana
    1.01
    ror
    0.94
    cles
    0.94
    andom
    0.92
    mingham
    0.92
    nie
    0.88
    rr
    0.88
    idium
    0.87
    ROR
    0.87
    Activations Density 0.018%

    No Known Activations