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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 16000
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    INDEX
    Explanations

    phrases expressing desires or aspirations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    date
    -0.68
     borne
    -0.63
     Ground
    -0.59
    manship
    -0.58
    milo
    -0.57
     bear
    -0.55
     Bearing
    -0.55
     occurring
    -0.55
     ground
    -0.54
     bearing
    -0.54
    POSITIVE LOGITS
     wants
    3.10
     wishes
    2.01
     want
    1.89
     desires
    1.87
     wanted
    1.85
     needs
    1.80
     intends
    1.79
     loves
    1.77
     expects
    1.77
     thinks
    1.73
    Activations Density 0.017%

    No Known Activations