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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. 11-RES-JB
    6. 16524
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    Explanations

    phrases related to challenges or tasks

    oai_token-act-pair · gpt-3.5-turbo

    references to various challenges faced in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otide
    -0.76
    seed
    -0.71
    ahon
    -0.70
    ool
    -0.67
    rie
    -0.67
    tarian
    -0.66
    ulet
    -0.66
    rity
    -0.64
    uate
    -0.64
    FY
    -0.64
    POSITIVE LOGITS
     posed
    1.16
     faced
    0.87
     facing
    0.84
    ioned
    0.83
     insur
    0.79
     confronting
    0.77
    ingly
    0.77
     daunting
    0.77
    enges
    0.74
     incumb
    0.73
    Activations Density 0.071%

    No Known Activations