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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. 6759
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    Explanations

    phrases related to mistreatment and misunderstandings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mist" and its variations, indicating a focus on themes of misunderstanding or misrepresentation

    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
    audi
    -0.88
    Books
    -0.75
    ECD
    -0.74
    thodox
    -0.73
    lishes
    -0.72
    OPLE
    -0.69
    adesh
    -0.68
    versions
    -0.66
    ppo
    -0.64
    mobi
    -0.64
    POSITIVE LOGITS
    reatment
    1.08
     mist
    1.03
    reated
    1.01
    ypes
    0.86
    mallow
    0.82
    rans
    0.81
    ewater
    0.80
    lessly
    0.79
     unfocusedRange
    0.76
    reating
    0.76
    Activations Density 0.005%

    No Known Activations