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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
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    Explanations

    the word "complacent."

    oai_token-act-pair · gpt-3.5-turbo

    words related to compliance and obstacles

    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
    bucks
    -0.76
    hire
    -0.72
    length
    -0.72
    google
    -0.68
    EStream
    -0.67
    hua
    -0.67
    hyde
    -0.66
    buff
    -0.64
    pages
    -0.63
    plane
    -0.62
    POSITIVE LOGITS
     compl
    1.12
    acent
    1.00
     adolesc
    0.91
    soDeliveryDate
    0.87
     newsp
    0.81
    igmatic
    0.80
     unden
    0.77
    uously
    0.77
     embr
    0.76
    antly
    0.75
    Activations Density 0.005%

    No Known Activations