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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. 1-RES-JB
    6. 8212
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    INDEX
    Explanations

    mentions of bounties or rewards offered for various purposes

    oai_token-act-pair · gpt-3.5-turbo

    references to bounties and bounty hunting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    case
    -0.76
    ppard
    -0.72
    VW
    -0.71
    icken
    -0.70
    INK
    -0.70
    slow
    -0.69
    BP
    -0.69
    CON
    -0.67
    mus
    -0.67
    orsche
    -0.67
    POSITIVE LOGITS
     bounty
    1.68
     bount
    1.44
     Bounty
    1.16
     hunter
    1.13
     hunters
    1.02
    iless
    0.96
    vertisement
    0.93
     challeng
    0.79
     reward
    0.79
    ounty
    0.78
    Activations Density 0.004%

    No Known Activations