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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. 23697
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    Explanations

    phrases related to struggles, challenges, or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "get" in various contexts

    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
    RON
    -0.68
     Britann
    -0.64
     hast
    -0.62
     Destruction
    -0.61
     Inher
    -0.60
    Rus
    -0.60
     instead
    -0.59
    instead
    -0.59
    kson
    -0.59
    probably
    -0.58
    POSITIVE LOGITS
     satisfactory
    0.88
     adequate
    0.87
     traction
    0.82
     sufficiently
    0.80
     sufficient
    0.79
     foothold
    0.78
     muster
    0.75
     convincing
    0.73
     any
    0.73
     anywhere
    0.73
    Activations Density 0.219%

    No Known Activations