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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. 8-RES-JB
    11. 332
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    Explanations

    the name "Se" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Se" followed by a number or descriptor

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.73
     diplom
    -0.72
    lessly
    -0.69
     treating
    -0.64
     hoops
    -0.63
     wholesale
    -0.62
     AFL
    -0.62
     scales
    -0.61
     admitting
    -0.61
     overhead
    -0.61
    POSITIVE LOGITS
    eker
    1.30
    ldom
    1.27
    vere
    1.23
    gments
    1.21
    infeld
    1.10
    eps
    1.08
    greg
    1.08
    vered
    1.08
    xton
    1.08
    verson
    1.08
    Activations Density 0.026%

    No Known Activations