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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. 1-RES-JB
    6. 23714
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    INDEX
    Explanations

    positive adjectives describing quality or performance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "excellent" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vere
    -0.86
    NetMessage
    -0.83
    pai
    -0.77
    pper
    -0.76
    ople
    -0.76
    psy
    -0.74
    Haunted
    -0.71
    oned
    -0.70
    RF
    -0.69
    plant
    -0.69
    POSITIVE LOGITS
     excellent
    0.91
    Excellent
    0.86
     quality
    0.82
     preservation
    0.77
     specimen
    0.76
     stellar
    0.76
     opportunity
    0.76
     compliments
    0.75
     enough
    0.75
     resil
    0.74
    Activations Density 0.014%

    No Known Activations