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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. 11-RES-JB
    11. 11438
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    Explanations

    verbs indicating actions related to enforcement or consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to negative consequences or actions taken in response to harmful situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ²¾
    -0.70
    iasco
    -0.66
     lately
    -0.66
    ricanes
    -0.65
    stad
    -0.62
     recently
    -0.60
    ixties
    -0.60
    ©¶æ
    -0.58
    allows
    -0.57
    onut
    -0.56
    POSITIVE LOGITS
     forever
    1.06
     instantly
    1.02
     automatically
    1.02
     accordingly
    1.01
     immediately
    1.01
     ASAP
    0.90
     regardless
    0.86
     indefinitely
    0.84
     unless
    0.80
    unless
    0.78
    Activations Density 0.625%

    No Known Activations