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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. 6591
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    Explanations

    phrases referring to the act of something occurring or happening

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to things that occur or are mentioned frequently

    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
    pmwiki
    -0.71
     Advertisement
    -0.66
    ivo
    -0.66
    itudes
    -0.64
     Reasons
    -0.64
    ignty
    -0.63
    icut
    -0.63
    IVES
    -0.63
    avement
    -0.62
    iple
    -0.61
    POSITIVE LOGITS
     forth
    0.92
    opl
    0.85
     along
    0.81
     out
    0.77
     closest
    0.77
     forward
    0.72
     knocking
    0.71
     bursting
    0.70
     ashore
    0.68
     up
    0.67
    Activations Density 0.072%

    No Known Activations