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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. 9-RES-JB
    6. 16944
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    INDEX
    Explanations

    phrases where someone is speaking or quoting someone else

    oai_token-act-pair · gpt-3.5-turbo

    quotations or dialogue in the text

    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
     princip
    -0.87
     deterrent
    -0.85
     adv
    -0.79
     frontline
    -0.75
     stem
    -0.75
     hardened
    -0.74
     conve
    -0.73
     fluct
    -0.73
     vigil
    -0.73
     proceeds
    -0.72
    POSITIVE LOGITS
    Hey
    1.74
    Oh
    1.62
    hey
    1.52
    Yeah
    1.51
    Look
    1.47
    Fuck
    1.44
    Okay
    1.43
    Well
    1.42
    Damn
    1.40
    yeah
    1.38
    Activations Density 0.059%

    No Known Activations