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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. 9-RES-JB
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    Explanations

    mentions or references to locker rooms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locker rooms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hillary
    -0.82
    PsyNetMessage
    -0.69
    nel
    -0.66
     crowdfunding
    -0.64
    mpeg
    -0.63
    target
    -0.62
    Crime
    -0.61
     Annotations
    -0.60
     Âł Âł Âł Âł Âł Âł Âł Âł
    -0.60
    Duration
    -0.59
    POSITIVE LOGITS
     locker
    1.16
     room
    1.15
     rooms
    1.11
    room
    1.03
     Room
    0.94
     drawer
    0.90
    pees
    0.89
     closet
    0.87
     clubhouse
    0.84
    yard
    0.80
    Activations Density 0.054%

    No Known Activations