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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. 8-RES-JB
    6. 4862
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    Explanations

    phrases indicating a subjective evaluation or perception of a situation or idea

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate perception or subjective judgment about various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aughs
    -0.71
    mers
    -0.68
    urrence
    -0.67
    anwhile
    -0.64
    rowing
    -0.63
    cised
    -0.62
    isin
    -0.60
    ioch
    -0.60
     Strikes
    -0.60
     Hunts
    -0.60
    POSITIVE LOGITS
     innocuous
    1.05
     daunting
    1.00
     intimidating
    0.93
     intuitive
    0.92
     confusing
    0.90
     insignificant
    0.89
    intuitive
    0.87
     contradictory
    0.86
     trivial
    0.86
     superf
    0.85
    Activations Density 0.064%

    No Known Activations