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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

    specific references to the word "Sharp."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand "Sharp."

    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
    ctica
    -0.74
    isSpecialOrderable
    -0.72
    mits
    -0.70
    auc
    -0.68
    ESH
    -0.68
    oteric
    -0.68
     Valkyrie
    -0.65
    pse
    -0.65
    querade
    -0.65
    ̶
    -0.64
    POSITIVE LOGITS
    ened
    0.90
    ening
    0.88
     Sharp
    0.84
    ness
    0.80
    edo
    0.78
    Edge
    0.75
    itude
    0.72
    itz
    0.68
     Caption
    0.68
    eyed
    0.68
    Activations Density 0.006%

    No Known Activations