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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. 5741
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    Explanations

    phrases related to instructional content

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "how to" in various contexts

    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
    prem
    -0.74
    pict
    -0.67
    court
    -0.66
     Coff
    -0.65
    cart
    -0.64
     Porter
    -0.64
    personal
    -0.64
    CLUD
    -0.64
    enance
    -0.64
     Appears
    -0.62
    POSITIVE LOGITS
     behave
    1.14
     interpret
    1.10
     treat
    1.07
     proceed
    1.05
     incorporate
    1.05
     handle
    1.04
     identify
    1.03
     achieve
    1.03
     navigate
    1.02
     maximize
    1.01
    Activations Density 0.040%

    No Known Activations