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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. 4972
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    INDEX
    Explanations

    quantitative information related to measurements or counts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to frequency and occurrence metrics

    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
    anship
    -0.76
    ¶æ
    -0.66
    achus
    -0.64
    aukee
    -0.62
    ACY
    -0.62
    gyn
    -0.62
    anamo
    -0.61
    thood
    -0.60
    otomy
    -0.59
     concede
    -0.58
    POSITIVE LOGITS
     guiActiveUnfocused
    0.83
     istg
    0.73
     Sands
    0.71
    )",
    0.66
    soDeliveryDate
    0.65
     CS
    0.63
     ______
    0.61
     colours
    0.60
     Clarks
    0.60
     Vale
    0.59
    Activations Density 1.416%

    No Known Activations