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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. 2-RES-JB
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    Explanations

    verbs related to the action of gathering or obtaining something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "collect" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ellen
    -0.74
     gearing
    -0.64
    ffe
    -0.63
     departure
    -0.63
    pher
    -0.62
     tightening
    -0.61
     illum
    -0.60
    forth
    -0.59
     rule
    -0.59
    xual
    -0.59
    POSITIVE LOGITS
    collect
    1.20
     Collect
    1.01
    Collect
    0.99
    ibles
    0.97
    ennial
    0.95
     collect
    0.94
     collects
    0.93
    ivist
    0.93
    ographs
    0.93
     collecting
    0.87
    Activations Density 0.016%

    No Known Activations