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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5877
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    Explanations

    references to specific laboratories and research facilities

    oai_token-act-pair · gpt-3.5-turbo

    references to various laboratories and research facilities

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

    No Comments

    Negative Logits
    theless
    -0.81
    cuts
    -0.71
    BOOK
    -0.68
    making
    -0.67
    Args
    -0.66
    conv
    -0.65
    arching
    -0.63
    board
    -0.60
     religions
    -0.60
    \":
    -0.59
    POSITIVE LOGITS
     Laboratories
    1.06
     Labs
    1.04
    orer
    1.03
    rador
    0.96
     Associates
    0.91
    rats
    0.83
    cius
    0.81
    ateur
    0.78
     labs
    0.77
    ource
    0.76
    Activations Density 0.011%

    No Known Activations