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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. 2913
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    Explanations

    references to specific acronyms or terms, particularly "AB."

    oai_token-act-pair · gpt-3.5-turbo

    references to the abbreviation "AB" and its related contexts, likely indicating organizational or legislative mentions

    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
    bourg
    -0.76
    kies
    -0.74
    arium
    -0.72
    itary
    -0.72
    andowski
    -0.67
    axies
    -0.67
    andum
    -0.65
    rawdownloadcloneembedreportprint
    -0.65
     Gors
    -0.65
     ethn
    -0.64
    POSITIVE LOGITS
    JECT
    1.08
    RIC
    1.03
    STR
    1.00
    OWS
    0.96
    ATH
    0.96
    ANY
    0.95
    OUT
    0.95
    RAM
    0.94
    ORN
    0.91
    ER
    0.91
    Activations Density 0.041%

    No Known Activations