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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 18089
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    Explanations

    phrases related to historical events, particularly military and political actions

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to historical events and crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itialized
    -0.63
     continu
    -0.60
     upcoming
    -0.58
    Els
    -0.58
     unfocusedRange
    -0.57
    future
    -0.56
    Fax
    -0.56
     Wem
    -0.52
     dy
    -0.51
     tonight
    -0.50
    POSITIVE LOGITS
    .*
    0.75
    *.
    0.72
    \",
    0.71
    .
    0.71
     ushered
    0.70
    \.
    0.70
     onwards
    0.69
    }"
    0.68
    Thumbnail
    0.67
     usher
    0.64
    Activations Density 0.398%

    No Known Activations