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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
    11. 21972
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    Explanations

    phrases related to different zones

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of zones

    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
    tesy
    -0.81
    uctor
    -0.75
    IGHTS
    -0.72
    irlf
    -0.71
    HCR
    -0.71
    mingham
    -0.71
    anooga
    -0.71
    eenth
    -0.71
    actionDate
    -0.70
    ntil
    -0.70
    POSITIVE LOGITS
     zone
    1.32
     zones
    1.27
     Zone
    0.88
    zone
    0.82
    Zone
    0.81
     zoning
    0.73
     dwell
    0.73
     overrun
    0.69
     depletion
    0.69
     gag
    0.67
    Activations Density 0.011%

    No Known Activations