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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
    11. 2572
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    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
    ccording
    -0.74
     confir
    -0.71
     IPM
    -0.70
     livest
    -0.70
     hemor
    -0.69
     mathemat
    -0.68
     adolesc
    -0.68
     laun
    -0.68
     myster
    -0.68
     clipboard
    -0.67
    POSITIVE LOGITS
    eson
    0.88
    ley
    0.86
    olini
    0.81
    zon
    0.81
    igan
    0.81
    ie
    0.80
    ett
    0.77
    kowski
    0.76
    field
    0.76
    idge
    0.75
    Activations Density 0.226%

    No Known Activations