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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. 5591
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    Explanations

    entities or groups of people, specifically named with proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    nouns associated with political groups and criminal entities

    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
    tains
    -0.80
    levels
    -0.66
    uces
    -0.63
     Matters
    -0.61
    é¾įå
    -0.59
    wise
    -0.58
     Kills
    -0.58
    uala
    -0.57
    runs
    -0.57
    Redd
    -0.57
    POSITIVE LOGITS
    '
    1.68
    ']
    1.38
    '"
    1.15
    ')
    1.13
    hip
    1.12
     themselves
    1.10
    '-
    1.09
    hips
    1.01
     are
    1.01
     weren
    0.99
    Activations Density 0.304%

    No Known Activations