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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. 9-RES-JB
    11. 5849
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    Explanations

    phrases related to news headlines and reports, potentially mentioning people's names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people or significant titles

    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
    agate
    -0.77
    ciplinary
    -0.74
    unct
    -0.70
    gate
    -0.70
    acity
    -0.66
    ococ
    -0.65
    sect
    -0.65
    illance
    -0.65
    other
    -0.63
    hex
    -0.63
    POSITIVE LOGITS
    LEY
    1.55
    SON
    1.55
    ERSON
    1.53
    WOOD
    1.51
    TON
    1.49
    LIN
    1.48
    ELL
    1.42
    IAN
    1.42
    VILLE
    1.41
    MAN
    1.41
    Activations Density 0.195%

    No Known Activations