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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    the word "framed" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "framed" and its variants, indicating discussions around how situations or narratives are presented or structured

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onge
    -0.82
    ggies
    -0.76
    andowski
    -0.74
    issy
    -0.71
    withstanding
    -0.70
    ippers
    -0.69
    frey
    -0.69
    ibaba
    -0.68
    Merit
    -0.68
    raltar
    -0.67
    POSITIVE LOGITS
     framed
    1.18
    eering
    0.96
     framing
    0.90
     frames
    0.80
    ocument
    0.72
     Vortex
    0.72
     Frames
    0.71
     visuals
    0.68
     Frame
    0.68
    fram
    0.67
    Activations Density 0.012%

    No Known Activations