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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. 23806
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    INDEX
    Explanations

    phrases where the word "essentially" is emphasized or central to the meaning

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating fundamental qualities or characteristics in statements

    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
    alez
    -0.76
    Ey
    -0.71
     enthus
    -0.66
    Tickets
    -0.66
    Recently
    -0.65
    Ö¼
    -0.65
    20439
    -0.62
    illo
    -0.60
    lest
    -0.60
    Õ
    -0.59
    POSITIVE LOGITS
     worthless
    0.87
     indistinguishable
    0.82
     unchanged
    0.82
     meaningless
    0.78
     boils
    0.77
     useless
    0.76
     limitless
    0.75
     unlimited
    0.74
     interchangeable
    0.73
     wiped
    0.73
    Activations Density 0.055%

    No Known Activations