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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. 9-RES-JB
    6. 8110
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    Explanations

    phrases related to getting away with something or receiving a relatively minor punishment

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.73
    女
    -0.68
     circumference
    -0.60
     succession
    -0.57
    çīĪ
    -0.55
    GMT
    -0.55
     readiness
    -0.55
     ambitions
    -0.55
     Liang
    -0.54
     capacities
    -0.53
    POSITIVE LOGITS
    door
    0.71
    oned
    0.66
    yp
    0.65
    udeb
    0.65
    entary
    0.63
    /+
    0.63
    odor
    0.62
    ayne
    0.62
    retty
    0.62
     easy
    0.61
    Activations Density 0.067%

    No Known Activations