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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. 5-RES-JB
    6. 21625
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    Explanations

    terms related to qualities or characteristics such as flexibility, adaptability, reliability, honesty, accountability, transparency, efficiency, and durability

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to accountability and integrity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ucha
    -0.86
    çīĪ
    -0.79
    nik
    -0.76
    riber
    -0.71
    arro
    -0.70
    han
    -0.70
     subscribed
    -0.70
    JB
    -0.69
    sov
    -0.68
    reb
    -0.67
    POSITIVE LOGITS
     solitude
    0.77
     emptiness
    0.72
     infiltration
    0.71
     heroism
    0.70
     complicity
    0.68
     detachment
    0.67
    iveness
    0.67
     obscurity
    0.67
     responsiveness
    0.67
     suppression
    0.67
    Activations Density 0.789%

    No Known Activations