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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. 23931
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    INDEX
    Explanations

    passwords and technical information such as numbers and commands

    oai_token-act-pair · gpt-3.5-turbo

    structured data patterns, particularly timestamps and numerical sequences

    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
    natureconservancy
    -0.88
     footing
    -0.73
     behavi
    -0.71
     nomine
    -0.65
     toget
    -0.64
    abeth
    -0.63
     heartbeat
    -0.61
    usage
    -0.61
     piping
    -0.59
    ume
    -0.57
    POSITIVE LOGITS
    sbm
    0.83
    ategory
    0.80
    apters
    0.73
    PsyNetMessage
    0.72
    Downloadha
    0.72
     doi
    0.69
     Fahrenheit
    0.69
    0200
    0.69
     Invalid
    0.68
    士
    0.68
    Activations Density 0.520%

    No Known Activations