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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 7175
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    Explanations

    words related to difficulty or challenge

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors related to challenges and risks

    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
    cussion
    -0.78
    ilogy
    -0.73
    mitter
    -0.72
    mbudsman
    -0.72
    ulator
    -0.70
    claimer
    -0.67
    chu
    -0.67
    ceiver
    -0.67
    utenant
    -0.67
    endment
    -0.67
    POSITIVE LOGITS
     amounts
    1.15
     situations
    1.10
     ideas
    1.07
     things
    1.06
     truths
    1.06
     combinations
    1.05
     objects
    1.01
     scenarios
    1.00
     moments
    0.99
     tasks
    0.98
    Activations Density 0.387%

    No Known Activations