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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. 16638
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    Explanations

    phrases related to expressing opinions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate conditionality or causality in discussions

    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
     Gleaming
    -0.77
     RAD
    -0.68
    ãĤ´ãĥ³
    -0.66
     Heads
    -0.63
    ORPG
    -0.59
    Winged
    -0.58
     Latest
    -0.58
    ocker
    -0.57
     Flavoring
    -0.57
    ãĤ¨ãĥ«
    -0.57
    POSITIVE LOGITS
     somew
    1.07
    necess
    1.00
     alas
    0.98
     uh
    0.95
     um
    0.88
     someday
    0.86
    fortunately
    0.85
    lege
    0.84
     theoretically
    0.83
     feas
    0.80
    Activations Density 0.097%

    No Known Activations