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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12551
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    Explanations

    the word "girl" with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the substring "ir" in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     untreated
    -0.64
    Ĥª
    -0.61
     Dragonbound
    -0.60
    er
    -0.58
    alter
    -0.57
    ļé
    -0.56
    ĸļ
    -0.56
     comma
    -0.56
     CLSID
    -0.56
    raised
    -0.55
    POSITIVE LOGITS
    vana
    1.41
    rha
    1.09
    andom
    1.04
    ROR
    0.99
    mingham
    0.93
    ror
    0.90
    acial
    0.90
    oux
    0.87
    rh
    0.86
    gil
    0.85
    Activations Density 0.035%

    No Known Activations