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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. 11209
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    Explanations

    proper nouns or names, potentially related to individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     earnest
    -0.65
     Rebels
    -0.65
     Pastebin
    -0.64
     lockout
    -0.61
     grievance
    -0.61
     purge
    -0.60
     quickly
    -0.59
     divided
    -0.59
     carry
    -0.59
     push
    -0.59
    POSITIVE LOGITS
    ona
    1.18
    inda
    0.99
    ola
    0.99
    anus
    0.94
    wyn
    0.92
    alia
    0.92
    ife
    0.91
    leys
    0.91
    ora
    0.91
    ley
    0.90
    Activations Density 0.562%

    No Known Activations