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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. 18105
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    INDEX
    Explanations

    phrases indicating high importance or necessity

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing necessity or strong recommendations

    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
    vironment
    -0.87
    vertisements
    -0.75
    vernment
    -0.72
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.71
    ividual
    -0.71
    hyde
    -0.68
    foreseen
    -0.67
    iency
    -0.64
    gdala
    -0.64
     Hamp
    -0.64
    POSITIVE LOGITS
    hew
    0.79
    ANG
    0.78
    aches
    0.78
    angs
    0.77
     reproduce
    0.77
     abide
    0.76
    reads
    0.75
    afa
    0.74
    ards
    0.72
    sis
    0.70
    Activations Density 0.024%

    No Known Activations