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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. 24016
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    Explanations

    questions or phrases related to quantifying or measuring something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that ask about quantification or estimation of value

    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
    İĭ
    -0.93
    Ń·
    -0.91
    swick
    -0.82
    ATURES
    -0.78
    strate
    -0.76
    ħĭ
    -0.76
    umbn
    -0.76
    pherd
    -0.76
    idon
    -0.74
    ivas
    -0.73
    POSITIVE LOGITS
     mileage
    0.88
     money
    0.87
     else
    0.85
     extent
    0.83
     damage
    0.82
     attention
    0.79
     elapsed
    0.79
     influence
    0.78
     firepower
    0.77
     overlap
    0.76
    Activations Density 0.034%

    No Known Activations