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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. 9-RES-JB
    11. 20199
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    INDEX
    Explanations

    phrases related to actions, decisions, and consequences

    oai_token-act-pair · gpt-3.5-turbo

    indicators of financial and social support for community efforts

    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
     fortunately
    -0.74
    almost
    -0.74
     surprisingly
    -0.72
    Firstly
    -0.71
    fortunately
    -0.68
     amazingly
    -0.67
     wonderfully
    -0.67
     splendid
    -0.67
    Quite
    -0.66
     decisively
    -0.66
    POSITIVE LOGITS
     drugs
    0.72
     blockers
    0.72
     equipment
    0.71
     minors
    0.70
     bathrooms
    0.70
     ambul
    0.69
     toilets
    0.69
     detainees
    0.67
     vehicles
    0.67
     underage
    0.67
    Activations Density 0.911%

    No Known Activations