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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 22514
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    Explanations

    words related to following rules or guidelines

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to compliance with rules or laws

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kson
    -0.78
     Chandler
    -0.78
     Rosenberg
    -0.78
    intendent
    -0.73
    terson
    -0.69
    ockets
    -0.68
     Toledo
    -0.65
    orio
    -0.65
     acceler
    -0.65
     hysteria
    -0.65
    POSITIVE LOGITS
     abide
    2.47
     abiding
    1.82
    edi
    1.56
     adhere
    1.44
     Analy
    1.26
     scra
    1.18
    Analy
    1.12
    Comment
    1.12
    gyn
    1.11
    comment
    1.09
    Activations Density 0.053%

    No Known Activations