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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. 24131
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and characters

    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
     AAC
    -0.69
     DIRECT
    -0.67
     USPS
    -0.65
     ACC
    -0.63
     Adjusted
    -0.62
     FedEx
    -0.60
    Reloaded
    -0.60
     horizont
    -0.59
    ************
    -0.59
     Competition
    -0.58
    POSITIVE LOGITS
    espie
    0.95
    ichick
    0.92
    amiya
    0.90
    zynski
    0.89
    verson
    0.88
    aney
    0.85
    igne
    0.84
    ensen
    0.80
    zon
    0.80
    ricks
    0.80
    Activations Density 0.131%

    No Known Activations