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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. 6-RES-JB
    11. 14567
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    Explanations

    phrases expressing opinions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating statements or assertions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cruiser
    -0.79
    allery
    -0.68
    artment
    -0.66
    artments
    -0.66
     Globe
    -0.62
    oston
    -0.60
    ibal
    -0.58
    onut
    -0.58
    swick
    -0.58
     fingert
    -0.58
    POSITIVE LOGITS
     aloud
    1.19
     goodbye
    1.11
     loudly
    1.11
     louder
    0.98
     Goodbye
    0.88
     bluff
    0.81
     loud
    0.74
     farewell
    0.70
    ript
    0.68
    displayText
    0.68
    Activations Density 0.343%

    No Known Activations