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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. 3-RES-JB
    11. 17754
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    Explanations

    names related to sports figures

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and names, particularly in a sporting context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    士
    -0.82
    è¦ļéĨĴ
    -0.77
    gered
    -0.76
    odcast
    -0.75
    ãĥ´ãĤ¡
    -0.71
     srfAttach
    -0.71
    ively
    -0.71
    ãĥĺ
    -0.71
    agate
    -0.69
     forgiven
    -0.68
    POSITIVE LOGITS
    xus
    0.80
    rix
    0.80
    lines
    0.76
    rick
    0.73
    lon
    0.71
    line
    0.70
     Wyatt
    0.69
    lin
    0.69
    rigan
    0.69
    rax
    0.69
    Activations Density 0.023%

    No Known Activations