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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. 8674
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    INDEX
    Explanations

    numerical targets or figures mentioned in relation to goals or limits

    oai_token-act-pair · gpt-3.5-turbo

    mentions of targets and limits, particularly related to emissions or renewable energy

    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
     istg
    -0.66
    Interstitial
    -0.65
     sidel
    -0.61
     VIDEOS
    -0.61
    successfully
    -0.60
     Everywhere
    -0.60
    Struct
    -0.59
    aband
    -0.59
    actionDate
    -0.58
    politics
    -0.58
    POSITIVE LOGITS
     estimate
    0.95
    onement
    0.86
     number
    0.85
     amount
    0.85
     allowance
    0.85
     (£
    0.83
     expires
    0.82
     allowable
    0.80
     estimates
    0.79
    emaker
    0.77
    Activations Density 0.200%

    No Known Activations