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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. 7-RES-JB
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    Explanations

    hypothetical scenarios or imaginative situations

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to hypothetical scenarios and imagination

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Downloadha
    -0.77
    git
    -0.77
    iencies
    -0.75
    idelines
    -0.73
    iyah
    -0.69
    ooth
    -0.67
    hide
    -0.67
    irm
    -0.66
    Course
    -0.63
    keep
    -0.63
    POSITIVE LOGITS
     scenario
    0.97
     hypothetical
    0.91
     Imagine
    0.85
     hypot
    0.83
     scenarios
    0.79
     dystopian
    0.76
     possibilities
    0.75
     Citiz
    0.72
     imagine
    0.72
     someday
    0.71
    Activations Density 0.100%

    No Known Activations