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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. 9-RES-JB
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    Explanations

    mentions of humanitarian aid and related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to humanitarian aid and related organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beard
    -0.77
    theless
    -0.68
    agall
    -0.67
    Salt
    -0.67
     Schne
    -0.66
    beard
    -0.65
     Tile
    -0.64
     Ran
    -0.64
     Coat
    -0.63
     fry
    -0.63
    POSITIVE LOGITS
    giving
    0.97
     agencies
    0.89
     recipients
    0.88
     aid
    0.87
     recipient
    0.82
     convoy
    0.82
     worker
    0.82
     workers
    0.81
     packages
    0.81
    worthy
    0.80
    Activations Density 0.041%

    No Known Activations