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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. 8-RES-JB
    11. 2258
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    INDEX
    Explanations

    items or objects hidden away or stored in a secret or protected manner

    oai_token-act-pair · gpt-3.5-turbo

    references to hiding or accumulating items, particularly illicit or prohibited goods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onomous
    -0.82
    axis
    -0.82
    terness
    -0.81
     wavelength
    -0.80
    zai
    -0.78
    iannopoulos
    -0.75
     deaf
    -0.75
     latency
    -0.71
    SPA
    -0.70
    idis
    -0.70
    POSITIVE LOGITS
     stash
    1.47
     items
    1.37
     treasures
    1.34
     belongings
    1.32
     looted
    1.30
     hoard
    1.28
     crates
    1.26
     bags
    1.23
     inventory
    1.19
     confiscated
    1.18
    Activations Density 1.089%

    No Known Activations