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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. 9998
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    Explanations

    phrases related to being prepared or readiness

    oai_token-act-pair · gpt-3.5-turbo

    mentions of being prepared for various situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    MRI
    -0.67
    ophone
    -0.65
    AMA
    -0.64
    ignment
    -0.59
    ilies
    -0.59
    owe
    -0.59
    ochet
    -0.59
    minster
    -0.58
    adish
    -0.58
    eros
    -0.57
    POSITIVE LOGITS
     to
    0.81
     financially
    0.79
    bodied
    0.79
     enough
    0.79
     ta
    0.75
    nesses
    0.75
    NESS
    0.73
    Ñĭ
    0.72
     mentally
    0.71
    terday
    0.71
    Activations Density 0.064%

    No Known Activations