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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
    11. 17184
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    INDEX
    Explanations

    years and numerical references

    oai_token-act-pair · gpt-3.5-turbo

    events and circumstances related to political and societal issues

    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
    arest
    -0.67
    =-=-=-=-=-=-=-=-
    -0.64
    zees
    -0.57
    display
    -0.56
     tomorrow
    -0.55
     Norn
    -0.54
     Pastebin
    -0.54
     fishes
    -0.53
    abus
    -0.53
    Tomorrow
    -0.53
    POSITIVE LOGITS
     eventually
    1.01
     culminated
    1.00
     subsequently
    0.96
     famously
    0.95
     later
    0.91
    sequently
    0.91
     controvers
    0.89
     thereafter
    0.88
     subsequent
    0.87
     culminating
    0.87
    Activations Density 1.455%

    No Known Activations