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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. 14685
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    Explanations

    the word "what" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "that's what" in various 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
    usk
    -0.71
    imb
    -0.71
    robe
    -0.69
    ãģ®éŃĶ
    -0.68
    hig
    -0.67
    thouse
    -0.67
    rums
    -0.65
    dozen
    -0.65
    mile
    -0.64
    perty
    -0.64
    POSITIVE LOGITS
     happens
    1.37
     happened
    1.32
     separates
    1.16
     bothers
    1.09
     distinguishes
    1.06
     motiv
    1.01
     transpired
    0.99
     makes
    0.98
     attracts
    0.95
     mattered
    0.94
    Activations Density 0.096%

    No Known Activations