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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. 11-RES-JB
    11. 5410
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    INDEX
    Explanations

    names of people and places

    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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tablets
    -0.73
     huh
    -0.61
     yes
    -0.61
     itself
    -0.59
     supreme
    -0.59
     mainland
    -0.59
     crap
    -0.59
     stone
    -0.58
     tablet
    -0.58
     silence
    -0.57
    POSITIVE LOGITS
    elman
    1.41
    enstein
    1.33
    enberg
    1.32
    zen
    1.28
    orf
    1.27
    zel
    1.26
    zer
    1.26
    zinski
    1.26
    zik
    1.25
    erman
    1.23
    Activations Density 0.161%

    No Known Activations