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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. 11-RES-JB
    11. 23092
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    Explanations

    phrases that emphasize a specific point or fact

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pione
    -0.79
    oufl
    -0.72
    ė
    -0.71
     RandomRedditor
    -0.71
    ü
    -0.71
    ă
    -0.71
    û
    -0.71
    ę
    -0.71
    -0.71
    embedreportprint
    -0.71
    POSITIVE LOGITS
     although
    1.13
     whenever
    1.06
     despite
    1.05
     whilst
    1.02
     unlike
    1.01
     while
    1.00
     whereas
    0.94
     neither
    0.92
     there
    0.91
     none
    0.90
    Activations Density 0.303%

    No Known Activations