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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. 9216
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    INDEX
    Explanations

    phrases related to completing tasks or achieving goals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of tasks or things that need to be completed or organized

    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
    amiya
    -0.63
     Tanz
    -0.60
     Neurolog
    -0.58
     struggle
    -0.58
    shall
    -0.57
    asionally
    -0.57
    clude
    -0.57
     dangers
    -0.55
    could
    -0.55
    risk
    -0.54
    POSITIVE LOGITS
     sorted
    1.00
     done
    0.96
     ready
    0.94
     traction
    0.92
    started
    0.84
     underway
    0.84
     repaired
    0.84
     acquainted
    0.83
     reinstated
    0.82
     hooked
    0.82
    Activations Density 0.265%

    No Known Activations