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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. 22023
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    Explanations

    mentions of guests at events or gatherings

    oai_token-act-pair · gpt-3.5-turbo

    references to the presence of guests or attendees at events

    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
     tracts
    -0.62
     Anthropology
    -0.61
     Cure
    -0.61
     Nun
    -0.61
     bilateral
    -0.61
     Ecology
    -0.60
     taxing
    -0.60
    tool
    -0.60
    Attach
    -0.60
    PAC
    -0.59
    POSITIVE LOGITS
    hip
    1.21
    erv
    1.09
    hips
    1.06
    peed
    0.92
    ']
    0.86
    cript
    0.85
    pread
    0.85
    aurus
    0.85
    ickle
    0.84
    ele
    0.83
    Activations Density 0.090%

    No Known Activations