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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. 24185
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    Explanations

    IP addresses within a specific range

    oai_token-act-pair · gpt-3.5-turbo

    references to specific numerical identifiers or codes, likely related to items or entities in a structured database

    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
    olf
    -0.86
    matic
    -0.86
    mond
    -0.84
    sonian
    -0.80
    lying
    -0.80
    selves
    -0.76
    âĹ¼
    -0.75
    agged
    -0.74
    vest
    -0.74
    aming
    -0.74
    POSITIVE LOGITS
     inhibitors
    0.78
    kHz
    0.77
     kHz
    0.76
     inhibitor
    0.74
    âĸĪ
    0.73
     lbs
    0.71
    xual
    0.71
     Deg
    0.71
     pounds
    0.71
     mph
    0.69
    Activations Density 0.028%

    No Known Activations