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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. 5718
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to conditions, states, and classifications

    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
    sung
    -0.70
    inav
    -0.69
    wagen
    -0.68
    antam
    -0.65
    mbuds
    -0.63
    owler
    -0.63
    anders
    -0.62
    bard
    -0.62
    edin
    -0.62
    bledon
    -0.61
    POSITIVE LOGITS
    LY
    1.14
    ly
    1.12
    aneous
    1.03
    aneously
    1.01
     thereto
    0.96
    lihood
    0.86
    ment
    0.86
    iously
    0.81
    ially
    0.79
    ively
    0.77
    Activations Density 0.343%

    No Known Activations