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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 24281
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    INDEX
    Explanations

    actions or events indicated by the word "called"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "called."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ILCS
    -0.66
     trophies
    -0.61
     shocks
    -0.57
    eeds
    -0.56
     gaps
    -0.55
    letico
    -0.54
     considerations
    -0.54
     ideologies
    -0.52
     disparities
    -0.51
     compliance
    -0.51
    POSITIVE LOGITS
     called
    3.47
     Called
    2.64
    called
    2.63
     termed
    2.36
     dubbed
    1.86
     referred
    1.83
     named
    1.74
     titled
    1.65
     nicknamed
    1.64
     CALL
    1.55
    Activations Density 0.037%

    No Known Activations