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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    texts containing the word "aro"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "aro"

    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
    fold
    -0.75
     asc
    -0.64
     Faith
    -0.64
     rights
    -0.62
     mark
    -0.61
     NHS
    -0.61
     health
    -0.60
     thr
    -0.60
     Creed
    -0.60
     informational
    -0.60
    POSITIVE LOGITS
    aro
    4.60
    aroo
    1.47
    arro
    1.37
    arus
    1.31
    aru
    1.31
    arez
    1.29
    aris
    1.25
    ari
    1.23
    ara
    1.23
    onso
    1.22
    Activations Density 0.014%

    No Known Activations