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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. 10-RES-JB
    11. 5827
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    Explanations

    contractions of the verb "to be" followed by nouns or pronouns

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the word "that’s" which often introduces new information or conclusions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĵĺ
    -0.71
     "$:/
    -0.70
    luaj
    -0.70
    vis
    -0.66
    ievers
    -0.62
    unia
    -0.61
    otte
    -0.60
    execute
    -0.60
    ial
    -0.60
    iphate
    -0.59
    POSITIVE LOGITS
     why
    1.01
     gotta
    1.00
     alright
    0.92
     right
    0.89
     okay
    0.89
     gonna
    0.86
     how
    0.81
     exactly
    0.81
     ok
    0.81
     awfully
    0.79
    Activations Density 0.078%

    No Known Activations