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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. 8-RES-JB
    6. 6689
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    Explanations

    phrases related to events or actions involving multiple people or entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to events involving groups, actions, and significant occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     accordingly
    -0.99
    %.
    -0.86
    ãĢĤ
    -0.83
     anyways
    -0.83
    *.
    -0.81
     whereas
    -0.79
     anyway
    -0.77
    +.
    -0.77
     wherever
    -0.75
     etc
    -0.74
    POSITIVE LOGITS
    pired
    0.79
    pires
    0.73
     Collider
    0.66
    fired
    0.63
    ikh
    0.61
    tains
    0.60
    outed
    0.58
     Loaded
    0.57
    ifies
    0.57
    named
    0.57
    Activations Density 0.503%

    No Known Activations