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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. 3-RES-JB
    11. 4384
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    Explanations

    the word "Magazine" with varying levels of relevance

    oai_token-act-pair · gpt-3.5-turbo

    references to various magazines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    comes
    -0.68
    come
    -0.68
    ident
    -0.65
    ides
    -0.65
    omething
    -0.64
    gotten
    -0.64
    hold
    -0.64
    speaking
    -0.63
    cker
    -0.62
    same
    -0.62
    POSITIVE LOGITS
    azines
    1.14
    azine
    1.12
     Magazine
    1.07
    Magazine
    1.00
     magazine
    0.96
     editor
    0.85
     Bullets
    0.85
     Journals
    0.84
     magazines
    0.82
     Editors
    0.82
    Activations Density 0.018%

    No Known Activations