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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. 3-RES-JB
    11. 17432
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    Explanations

    proper nouns related to specific locations and names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ividual
    -0.59
    ODUCT
    -0.56
    shapeshifter
    -0.53
    llah
    -0.53
     silence
    -0.51
     warranted
    -0.50
    wrapper
    -0.50
    LEASE
    -0.49
    æĢ
    -0.49
    anwhile
    -0.48
    POSITIVE LOGITS
    ley
    0.62
    anus
    0.59
    jon
    0.57
    ona
    0.56
     Creek
    0.55
    ado
    0.55
    zen
    0.55
    ias
    0.54
    ich
    0.54
    oche
    0.54
    Activations Density 0.977%

    No Known Activations