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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. 0-RES-JB
    11. 20025
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    INDEX
    Explanations

    phrases that start with "Having"

    oai_token-act-pair · gpt-3.5-turbo

    instances of "having" indicating continuous or ongoing action

    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
     defense
    -0.74
     ages
    -0.70
     counter
    -0.67
     palm
    -0.65
     center
    -0.64
     arms
    -0.62
     cleanup
    -0.62
     correction
    -0.62
     round
    -0.60
     past
    -0.60
    POSITIVE LOGITS
    Having
    2.82
     Having
    2.69
    having
    2.17
    Being
    1.75
    Seeing
    1.60
     Being
    1.57
    Knowing
    1.52
     Whilst
    1.51
     Seeing
    1.45
     Knowing
    1.43
    Activations Density 0.010%

    No Known Activations