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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. 9-RES-JB
    11. 2583
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    Explanations

    phrases that introduce or emphasize a notable point or aspect

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the word "some" 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
    Putin
    -0.78
    iggurat
    -0.74
    ileaks
    -0.71
    Balt
    -0.69
    edin
    -0.69
     anew
    -0.68
    multipl
    -0.65
    appointed
    -0.64
    âĢİ
    -0.64
    00007
    -0.64
    POSITIVE LOGITS
     instances
    1.10
     situations
    1.09
     cases
    1.07
     occurrences
    1.06
     examples
    1.06
     applications
    1.05
     users
    1.04
     types
    1.04
     combinations
    1.04
     environments
    1.03
    Activations Density 0.217%

    No Known Activations