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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. 7-RES-JB
    6. 8172
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to specific individuals, places, or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Âł Âł Âł Âł
    -0.84
    doi
    -0.75
     Mehran
    -0.71
    hip
    -0.70
    heet
    -0.69
    ORT
    -0.68
    cript
    -0.68
    rison
    -0.68
     æľ
    -0.67
    hips
    -0.67
    POSITIVE LOGITS
    's
    1.13
    istic
    0.74
    eto
    0.67
     experien
    0.65
     Enterprises
    0.64
    staking
    0.64
    omics
    0.61
     contrace
    0.61
    osaurus
    0.61
     Smile
    0.61
    Activations Density 0.171%

    No Known Activations