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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. 1-RES-JB
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    INDEX
    Explanations

    mentions of the word "locker"

    oai_token-act-pair · gpt-3.5-turbo

    references to locker rooms and clubhouses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alez
    -0.82
    akuya
    -0.78
    ammed
    -0.73
    debian
    -0.72
    slow
    -0.71
    eff
    -0.70
    akening
    -0.70
    asel
    -0.68
    eded
    -0.68
    arnaev
    -0.66
    POSITIVE LOGITS
     locker
    1.46
     clubhouse
    0.93
     drawer
    0.85
     room
    0.84
     rooms
    0.81
    room
    0.76
     chests
    0.76
    izational
    0.73
     rink
    0.73
    ãĥ³ãĤ¸
    0.73
    Activations Density 0.006%

    No Known Activations