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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. 3414
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    Explanations

    phrases related to questioning or investigating something

    oai_token-act-pair · gpt-3.5-turbo

    questions about the validity or impact of policies and 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
    none
    -0.82
    ciating
    -0.76
     nowhere
    -0.75
    è¦ļéĨĴ
    -0.73
    ãĤĴ
    -0.73
    licts
    -0.72
    ulner
    -0.70
    IGH
    -0.69
    çīĪ
    -0.66
    nothing
    -0.64
    POSITIVE LOGITS
     ever
    1.23
     adequately
    1.04
     anymore
    1.01
     properly
    1.00
     qualifies
    0.96
     necessarily
    0.95
     truly
    0.94
     actually
    0.92
     EVER
    0.91
     correctly
    0.87
    Activations Density 0.319%

    No Known Activations