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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. 7-RES-JB
    11. 3094
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    Explanations

    phrases related to international aid and humanitarian organizations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beard
    -0.80
    agall
    -0.72
     Ran
    -0.67
     Bellev
    -0.66
    beard
    -0.66
    theless
    -0.65
    âĸ¬
    -0.64
    OTE
    -0.64
     Hots
    -0.61
     Schne
    -0.61
    POSITIVE LOGITS
     aid
    0.96
    giving
    0.88
     supplies
    0.80
     kit
    0.74
    aments
    0.73
    fulness
    0.73
     recip
    0.73
     worker
    0.72
     agencies
    0.71
    abil
    0.71
    Activations Density 0.025%

    No Known Activations