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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. 8-RES-JB
    11. 1814
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    Explanations

    phrases indicating a call to action or a request for specific actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a call to action or requests for organizations or individuals to take specific measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VERTISEMENT
    -0.80
    puted
    -0.75
    amac
    -0.69
    mol
    -0.68
    amic
    -0.66
    ãĤª
    -0.63
     convol
    -0.63
    served
    -0.62
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.60
    amous
    -0.59
    POSITIVE LOGITS
     policymakers
    1.01
     governments
    0.89
     lawmakers
    0.88
     legislators
    0.88
     Congress
    0.88
     congress
    0.84
     readers
    0.82
     employers
    0.81
     parliament
    0.80
     listeners
    0.80
    Activations Density 0.084%

    No Known Activations