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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. 5-RES-JB
    6. 3573
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    INDEX
    Explanations

    phrases related to desires or interests

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire and willingness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ummies
    -0.78
    rooms
    -0.70
    eworks
    -0.67
    ules
    -0.66
    Featured
    -0.66
    IDs
    -0.65
    elines
    -0.65
    units
    -0.65
    sites
    -0.64
    edited
    -0.64
    POSITIVE LOGITS
    rence
    0.81
     familiarity
    0.79
     mindset
    0.70
    amiliar
    0.70
     mentality
    0.69
     willingness
    0.68
     linkage
    0.68
     trove
    0.68
     stemming
    0.67
     attitude
    0.67
    Activations Density 0.256%

    No Known Activations