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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    instances of the word "sent"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sent"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ggle
    -0.73
    aughs
    -0.68
    ependence
    -0.64
     Catalyst
    -0.64
    ãĤ¤ãĥĪ
    -0.64
    Ô
    -0.64
    Occup
    -0.64
    atives
    -0.63
     Hyde
    -0.63
    ivating
    -0.63
    POSITIVE LOGITS
     sent
    3.29
     send
    2.02
     dispatched
    1.95
     sends
    1.88
    sent
    1.87
     mailed
    1.76
     forwarded
    1.75
     sending
    1.69
    Sent
    1.67
     Sent
    1.63
    Activations Density 0.022%

    No Known Activations