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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 4995
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    Explanations

    data represented as percentages

    oai_token-act-pair · gpt-3.5-turbo

    ratings or numerical evaluations of entities or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    htaking
    -0.69
     Authorization
    -0.67
    glers
    -0.62
    inous
    -0.62
    _-
    -0.59
     winds
    -0.58
     amounts
    -0.56
    alky
    -0.56
    estic
    -0.56
    oda
    -0.55
    POSITIVE LOGITS
    formed
    0.71
    ModLoader
    0.69
     ten
    0.69
     thirteen
    0.67
    pload
    0.64
     nine
    0.64
     100
    0.63
     2400
    0.62
     1000
    0.62
     dozens
    0.62
    Activations Density 0.054%

    No Known Activations