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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. 3-RES-JB
    6. 14475
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    Explanations

    words related to upcoming or proposed future events or activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of future intentions or proposals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ILCS
    -0.76
    osi
    -0.73
     Stain
    -0.72
     Temper
    -0.71
    ruciating
    -0.67
     Splash
    -0.66
    OSS
    -0.64
    assi
    -0.63
     Chin
    -0.63
    Cause
    -0.63
    POSITIVE LOGITS
     plans
    0.92
    isphere
    0.89
     Plans
    0.89
    creen
    0.86
    paren
    0.85
    ets
    0.84
    etting
    0.80
    cape
    0.80
    WER
    0.77
    escape
    0.75
    Activations Density 0.027%

    No Known Activations