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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. 1-RES-JB
    11. 7505
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    Explanations

    words related to expectations or predictions

    oai_token-act-pair · gpt-3.5-turbo

    statements related to future expectations or predictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.74
    packing
    -0.65
    agra
    -0.64
    Ste
    -0.63
     Mechanics
    -0.61
     goddess
    -0.60
    Ü
    -0.60
    anton
    -0.59
    gar
    -0.59
    example
    -0.58
    POSITIVE LOGITS
     expects
    1.03
    ricanes
    0.87
    olate
    0.81
     expect
    0.79
    terday
    0.76
     SERV
    0.75
     vulner
    0.74
     adolesc
    0.74
    \'
    0.74
    ricane
    0.73
    Activations Density 0.007%

    No Known Activations