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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. 18889
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    Explanations

    the article "a" followed by words or phrases with unique formatting characteristics

    oai_token-act-pair · gpt-3.5-turbo

    the article "a" in various contexts

    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
     rebounds
    -0.65
     scraps
    -0.65
     somewhere
    -0.62
     bullies
    -0.61
     Alphabet
    -0.60
     accounts
    -0.60
     EVs
    -0.59
     wisely
    -0.59
     HQ
    -0.57
     honesty
    -0.57
    POSITIVE LOGITS
    vec
    1.35
    ñ
    1.13
    kt
    1.09
    ria
    1.09
    ño
    1.05
    uctor
    1.04
    vez
    1.01
    uf
    1.01
    lez
    1.00
    uss
    0.99
    Activations Density 0.025%

    No Known Activations