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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. 6903
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    INDEX
    Explanations

    phrases related to probability or likelihood

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express probabilities or chances

    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
    minus
    -0.95
     ILCS
    -0.88
    Reviewer
    -0.80
    entric
    -0.79
    geist
    -0.76
    hesis
    -0.73
    idelines
    -0.72
    raq
    -0.71
    flows
    -0.70
    bane
    -0.69
    POSITIVE LOGITS
     obtaining
    0.92
     encountering
    0.81
     getting
    0.79
     dissu
    0.79
     owning
    0.79
     doom
    0.78
     staying
    0.76
     achieving
    0.75
     locating
    0.75
     acquiring
    0.74
    Activations Density 0.097%

    No Known Activations