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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. 13972
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    Explanations

    phrases related to current events or developments

    oai_token-act-pair · gpt-3.5-turbo

    strong references to entities and prominent subjects in a narrative

    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
    SPONSORED
    -0.87
    Interstitial
    -0.74
    Ò
    -0.72
    tesy
    -0.71
    interstitial
    -0.68
    Allows
    -0.68
    è£
    -0.68
    imentary
    -0.67
    their
    -0.67
    Used
    -0.66
    POSITIVE LOGITS
     stakes
    1.10
     countdown
    0.99
     pend
    0.96
    resa
    0.96
     saga
    0.95
    oret
    0.90
     carnage
    0.90
     deadline
    0.90
     clock
    0.90
     momentum
    0.89
    Activations Density 0.579%

    No Known Activations