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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11493
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    INDEX
    Explanations

    profane words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    linguistic patterns related to specific suffixes and potentially notable keywords

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rift
    -0.80
    iry
    -0.75
     Wond
    -0.74
    MQ
    -0.74
    romy
    -0.70
    dq
    -0.69
    DOM
    -0.67
    IR
    -0.67
    Soc
    -0.66
    ilk
    -0.64
    POSITIVE LOGITS
     banter
    0.82
     insult
    0.78
     gluc
    0.74
     fres
    0.74
    plet
    0.74
     heck
    0.73
    eah
    0.72
     boo
    0.66
    onsense
    0.66
     outburst
    0.66
    Activations Density 0.055%

    No Known Activations