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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. 2-RES-JB
    11. 23199
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    Explanations

    commands or procedures in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    actions related to severe threats or coercion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.77
    Battery
    -0.68
     Sap
    -0.63
    knife
    -0.63
    idi
    -0.63
     Num
    -0.61
    MAT
    -0.61
     Vehicle
    -0.60
    Feature
    -0.60
    Staff
    -0.59
    POSITIVE LOGITS
     sshd
    0.70
    icial
    0.70
     oneself
    0.67
    oters
    0.67
    urated
    0.66
    rolling
    0.66
     Rouse
    0.66
    opoly
    0.64
    uberty
    0.62
    /_
    0.62
    Activations Density 0.000%

    No Known Activations