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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. 9-RES-JB
    6. 755
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    Explanations

    phrases related to small examples or elements representing a larger concept

    oai_token-act-pair · gpt-3.5-turbo

    references to significant issues or underlying problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chev
    -0.82
    iors
    -0.80
    unctions
    -0.75
    Daily
    -0.73
    ancies
    -0.72
    OWN
    -0.72
    LY
    -0.71
    ummies
    -0.69
    lords
    -0.67
    cler
    -0.66
    POSITIVE LOGITS
     iceberg
    1.39
     scale
    0.87
     spear
    0.82
     scales
    0.82
     rope
    0.78
     proverbial
    0.76
     wedge
    0.74
     finger
    0.74
     mustard
    0.72
     fingers
    0.67
    Activations Density 0.096%

    No Known Activations