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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 22873
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    Explanations

    words related to potential danger or serious consequences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of empty or null tokens

    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
     disadvant
    -0.64
     Vaugh
    -0.64
     undermin
    -0.60
     thous
    -0.59
    atever
    -0.56
     predec
    -0.55
     challeng
    -0.52
    Tokens
    -0.49
     advoc
    -0.49
    '."
    -0.48
    POSITIVE LOGITS
    \":
    0.56
    ¶
    0.56
    !:
    0.54
     Xperia
    0.51
    ':
    0.49
     OnePlus
    0.48
     âĢº
    0.48
     partName
    0.48
     ARM
    0.47
    âĦ¢:
    0.44
    Activations Density 0.787%

    No Known Activations