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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. 1549
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    Explanations

    words related to rules or instructions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to regulation or stipulation in various contexts

    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
     mustard
    -0.70
     beans
    -0.69
     strangers
    -0.58
    quart
    -0.58
     Beans
    -0.57
     bean
    -0.55
     person
    -0.55
     founders
    -0.54
     theaters
    -0.54
     leg
    -0.54
    POSITIVE LOGITS
    ulation
    4.38
    ulations
    3.47
    ulated
    3.19
    ulating
    3.07
    ulatory
    2.90
    ulate
    2.88
    ulator
    2.76
    ulates
    2.74
    ulators
    2.73
    ulative
    2.19
    Activations Density 0.005%

    No Known Activations