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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. 6305
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    INDEX
    Explanations

    responses in first-person narrative style

    oai_token-act-pair · gpt-3.5-turbo

    negations and expressions of limitations or inability

    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
     CLR
    -0.73
     Rosenstein
    -0.66
     Lavrov
    -0.63
     Hof
    -0.61
     Aerospace
    -0.60
    aic
    -0.60
     Highlands
    -0.60
    idates
    -0.59
     ATF
    -0.59
     Lange
    -0.58
    POSITIVE LOGITS
     myself
    0.90
    ngth
    0.69
     praying
    0.67
     liking
    0.67
     personally
    0.66
     reckoning
    0.66
    venge
    0.65
    oan
    0.64
     writing
    0.64
     regret
    0.62
    Activations Density 0.855%

    No Known Activations