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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. 12-RES-JB
    11. 4104
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    Explanations

    questions or prompts ending with question marks

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    punctuation, particularly question marks and colons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     tremend
    -0.94
     strugg
    -0.85
     notor
    -0.84
     dismant
    -0.79
     unsus
    -0.78
     rein
    -0.78
     stocking
    -0.78
     escaping
    -0.77
     powering
    -0.76
     taboo
    -0.76
    POSITIVE LOGITS
     Explain
    1.37
     Were
    1.34
     Did
    1.20
     Was
    1.19
     Desc
    1.17
     Have
    1.17
     How
    1.15
     Are
    1.14
     Would
    1.14
     What
    1.13
    Activations Density 0.081%

    No Known Activations