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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. 4-RES-JB
    11. 2759
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    Explanations

    phrases related to the implementation of various plans or actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the process of implementation or execution of laws, strategies, or plans

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

    No Comments

    Negative Logits
    pool
    -0.74
     sands
    -0.72
    Bone
    -0.71
     Sul
    -0.69
    bery
    -0.66
    si
    -0.64
     Tire
    -0.63
    etry
    -0.63
    ubes
    -0.63
    mpeg
    -0.63
    POSITIVE LOGITS
     behavi
    0.81
     sanctions
    0.77
    statement
    0.76
    ulatory
    0.75
     implemented
    0.73
    itutional
    0.73
     implementation
    0.72
     policies
    0.72
    lyak
    0.72
     enforcement
    0.72
    Activations Density 0.022%

    No Known Activations