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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. 0-RES-JB
    11. 1467
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    Explanations

    phrases related to imposing bans or restrictions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "banning" or related variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isen
    -0.68
    omet
    -0.66
    ocate
    -0.65
     Illust
    -0.65
    esta
    -0.65
    rose
    -0.65
     Explorer
    -0.64
    enter
    -0.64
     excel
    -0.63
    igible
    -0.63
    POSITIVE LOGITS
     banning
    3.48
     prohibiting
    2.36
     barring
    1.95
     restricting
    1.91
     suspending
    1.81
     bans
    1.76
     legalizing
    1.73
     regulating
    1.66
     abol
    1.63
     granting
    1.57
    Activations Density 0.024%

    No Known Activations