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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. 6-RES-JB
    11. 15016
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    Explanations

    verbs related to problem-solving or analytical thinking

    oai_token-act-pair · gpt-3.5-turbo

    the concept of figuring out solutions or answers to problems

    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
    interstitial
    -0.95
    cious
    -0.81
    Crystal
    -0.79
    cius
    -0.79
    awn
    -0.78
    eries
    -0.77
    oil
    -0.73
    staking
    -0.73
    agos
    -0.71
    wake
    -0.70
    POSITIVE LOGITS
     how
    1.04
     why
    0.84
     HOW
    0.81
    llor
    0.81
     WHY
    0.80
    tle
    0.78
     ways
    0.76
     whats
    0.76
     what
    0.75
     whether
    0.71
    Activations Density 0.032%

    No Known Activations