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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. 6-RES-JB
    11. 4156
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    Explanations

    phrases related to attending events or meetings

    oai_token-act-pair · gpt-3.5-turbo

    references to events or meetings that require attendance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sheets
    -0.75
    iflower
    -0.66
    vity
    -0.66
    eness
    -0.66
    renheit
    -0.65
     crust
    -0.64
     headlights
    -0.64
     persistence
    -0.63
     emerged
    -0.62
     stems
    -0.61
    POSITIVE LOGITS
     synagogue
    0.82
     lecture
    0.77
     funeral
    0.76
     funer
    0.75
     seminars
    0.72
     seminar
    0.72
     school
    0.71
    School
    0.70
     mosque
    0.69
     memorial
    0.69
    Activations Density 0.174%

    No Known Activations