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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. 23638
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    INDEX
    Explanations

    phrases indicating a turning point or realization

    oai_token-act-pair · gpt-3.5-turbo

    statements about inevitability and necessary actions over time

    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
    ãĥ¼ãĥĨãĤ£
    -0.74
     pending
    -0.65
    photos
    -0.65
    INGTON
    -0.64
     Yesterday
    -0.63
    Previous
    -0.61
    MD
    -0.61
    pre
    -0.61
    prov
    -0.61
     awaiting
    -0.59
    POSITIVE LOGITS
     realizes
    1.17
     relent
    1.17
     realized
    1.17
    iphany
    1.15
     realize
    1.13
     realise
    1.11
     realised
    1.08
     ceases
    1.05
     finally
    1.04
     realization
    1.04
    Activations Density 0.537%

    No Known Activations