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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. 9-RES-JB
    11. 5820
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    Explanations

    phrases related to legal disputes and accusations

    oai_token-act-pair · gpt-3.5-turbo

    references to mistakes and violations of rules or laws

    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
    =-=-=-=-
    -0.76
    issance
    -0.74
    ertain
    -0.71
    izen
    -0.71
    TAIN
    -0.69
    ictionary
    -0.69
    =-=-=-=-=-=-=-=-
    -0.65
    IGHTS
    -0.64
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.62
    hetics
    -0.62
    POSITIVE LOGITS
     refusing
    1.17
     announcing
    1.11
     omission
    1.08
     appointing
    1.08
     rejecting
    1.07
     dismissing
    1.03
     choosing
    1.03
     admitting
    1.02
     denying
    1.02
     declaring
    1.02
    Activations Density 0.417%

    No Known Activations