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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. 8-RES-JB
    6. 5510
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    Explanations

    the word "conceivable" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of concealment or hiding information

    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
     Bucks
    -0.66
     GEAR
    -0.65
     KP
    -0.65
     GOODMAN
    -0.62
    isms
    -0.62
     Hour
    -0.61
     waters
    -0.59
     OPS
    -0.58
     Hayward
    -0.58
    ICS
    -0.58
    POSITIVE LOGITS
    ivably
    1.62
    veland
    1.05
    iving
    1.03
    rence
    1.01
    aling
    1.00
    vable
    1.00
    avement
    0.95
    perate
    0.92
    abled
    0.91
    mble
    0.90
    Activations Density 0.037%

    No Known Activations