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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. 6-RES-JB
    6. 8773
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    Explanations

    phrases related to accuracy or precision

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to various forms of "literacy" or "ability."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izen
    -0.76
    wagen
    -0.70
    eming
    -0.70
    Mars
    -0.69
    animous
    -0.68
    sets
    -0.67
    ers
    -0.67
    ractive
    -0.65
    sen
    -0.64
    STON
    -0.62
    POSITIVE LOGITS
    cling
    0.88
    encies
    0.82
    chin
    0.82
    rics
    0.81
    clinton
    0.79
    cles
    0.77
    acies
    0.73
    ritic
    0.73
    combe
    0.71
    ency
    0.71
    Activations Density 0.060%

    No Known Activations