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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
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    Explanations

    references to individuals named "Wel" or "Wyn"

    oai_token-act-pair · gpt-3.5-turbo

    words related to the name "Wel" and its variations

    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
    displayText
    -0.81
     Shinra
    -0.80
    uyomi
    -0.79
     Butterfly
    -0.76
     CPC
    -0.74
     Merrill
    -0.74
     Mandatory
    -0.72
     Forbidden
    -0.72
     Grayson
    -0.71
    urai
    -0.69
    POSITIVE LOGITS
    tering
    1.17
    zel
    1.16
    nesday
    1.07
    ter
    1.02
    nut
    0.98
    ishes
    0.98
    comed
    0.97
    ben
    0.94
    ted
    0.93
    comes
    0.91
    Activations Density 0.009%

    No Known Activations