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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. 2357
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    Explanations

    verbs related to decisions or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to giving and effort

    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
     meantime
    -0.84
    instead
    -0.78
     instead
    -0.78
     meanwhile
    -0.74
     unchanged
    -0.71
     remained
    -0.70
     forgotten
    -0.70
    now
    -0.70
     forgetting
    -0.69
    still
    -0.69
    POSITIVE LOGITS
    cellent
    0.84
    ãĥ¤
    0.78
    ngth
    0.71
    extremely
    0.70
    Ó
    0.64
    hibit
    0.64
     Highly
    0.62
     extraordinarily
    0.62
     considerable
    0.61
     awfully
    0.61
    Activations Density 1.107%

    No Known Activations