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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. 11-RES-JB
    11. 1723
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    Explanations

    phrases related to progress or improvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating extended effort or progress

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enery
    -0.67
    ubs
    -0.62
    urities
    -0.60
    resent
    -0.60
    rador
    -0.59
    terday
    -0.59
    ongo
    -0.59
    iasco
    -0.57
    resistant
    -0.56
    nered
    -0.56
    POSITIVE LOGITS
     route
    1.08
     distance
    0.98
     step
    0.94
     ways
    0.89
     mile
    0.85
     way
    0.80
     Distance
    0.79
     direction
    0.79
     furthe
    0.78
    route
    0.74
    Activations Density 0.063%

    No Known Activations