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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. 19784
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    Explanations

    references to omnidirectional experiences or modes of transportation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to omnidirectional concepts and herbicides

    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
    ing
    -0.71
     Charter
    -0.63
     renamed
    -0.61
     Kidd
    -0.60
     Mayor
    -0.60
     Strip
    -0.59
     seeded
    -0.59
     Member
    -0.58
     redress
    -0.58
     Cook
    -0.58
    POSITIVE LOGITS
    essage
    1.26
    isphere
    1.23
    onom
    1.20
    asia
    1.16
    aceous
    1.15
    obile
    1.12
    orrow
    1.12
    atically
    1.10
    otor
    1.08
    itol
    1.07
    Activations Density 0.079%

    No Known Activations