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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. 10-RES-JB
    6. 7388
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    Explanations

    requests and their outcomes, such as being approved, denied, or rejected

    oai_token-act-pair · gpt-3.5-turbo

    requests and their statuses related to approvals or rejections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     inhabit
    -0.71
    auts
    -0.70
     havoc
    -0.70
     Spin
    -0.70
    Variable
    -0.69
    revolution
    -0.66
     Teach
    -0.66
    Learning
    -0.65
     Surviv
    -0.65
    schild
    -0.65
    POSITIVE LOGITS
     requesting
    1.35
    request
    1.33
     requests
    1.31
     request
    1.24
     Request
    1.23
    Request
    1.21
     requested
    1.20
     rejected
    1.16
    requ
    1.16
     granted
    1.15
    Activations Density 0.516%

    No Known Activations