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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. 11241
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    Explanations

    products or items that are specifically designed or suitable for certain purposes or groups of people

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate suitability or appropriateness for specific audiences or contexts

    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
    aura
    -0.68
    Lock
    -0.68
    ope
    -0.66
    lik
    -0.65
    fulness
    -0.65
     until
    -0.65
    hap
    -0.64
    Mut
    -0.63
     enough
    -0.62
    icip
    -0.62
    POSITIVE LOGITS
     sake
    1.25
     purposes
    1.08
     novice
    1.03
     masses
    1.02
     beginner
    1.02
     foreseeable
    1.01
     purpose
    0.92
     faint
    0.92
     unin
    0.91
     adventurous
    0.89
    Activations Density 0.180%

    No Known Activations