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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. 7-RES-JB
    11. 11073
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    Explanations

    text structured in the format "i.e." followed by an explanation or clarification

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include certain punctuation and formatting elements like periods and the letter 'e'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.78
    thal
    -0.69
    inav
    -0.65
    Track
    -0.65
    ILA
    -0.65
    iosyn
    -0.64
    ioxide
    -0.62
    iage
    -0.61
    esta
    -0.60
    lopp
    -0.60
    POSITIVE LOGITS
    âĢ¢âĢ¢
    0.74
    dropping
    0.72
     ours
    0.68
     excluding
    0.67
    worth
    0.65
    successful
    0.65
     Digest
    0.64
     CoC
    0.64
    ciating
    0.64
    icio
    0.63
    Activations Density 0.056%

    No Known Activations