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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. 7233
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    Explanations

    references to a specific type of animal

    oai_token-act-pair · gpt-3.5-turbo

    symbols indicating the end of text and references to "racism" or terms related to race

    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
     Ceres
    -0.68
    utterstock
    -0.64
     Fargo
    -0.62
     porous
    -0.62
    gur
    -0.59
     Griffin
    -0.59
     transformation
    -0.59
     Katy
    -0.58
     reversible
    -0.58
     Fraz
    -0.58
    POSITIVE LOGITS
    quet
    1.20
    coon
    1.12
    etr
    1.12
    eway
    0.98
    ially
    0.95
    onte
    0.92
    eways
    0.91
    quel
    0.91
    otta
    0.90
    nell
    0.88
    Activations Density 0.075%

    No Known Activations