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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 862
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    Explanations

    references to financial values such as dollar amounts or percentages

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the article "a" and its frequency in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     organs
    -0.76
    artifacts
    -0.69
     documents
    -0.68
    things
    -0.65
    mot
    -0.65
     fights
    -0.65
     tattoos
    -0.64
     preparations
    -0.64
    eyes
    -0.64
     eg
    -0.63
    POSITIVE LOGITS
     whopping
    1.59
     total
    1.10
     staggering
    1.03
     median
    0.99
     fraction
    0.99
     hefty
    0.98
    verages
    0.97
     ratio
    0.96
     mere
    0.95
     maximum
    0.94
    Activations Density 0.254%

    No Known Activations