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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. 17236
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    Explanations

    phrases related to potential risks and consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to safety risks and accidents

    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
     complied
    -0.70
     Tenth
    -0.66
    aign
    -0.66
     agreed
    -0.65
    çīĪ
    -0.62
     Had
    -0.62
    reed
    -0.62
    oldemort
    -0.61
    =/
    -0.60
    oided
    -0.60
    POSITIVE LOGITS
     can
    1.43
    often
    1.26
     tends
    1.22
     often
    1.21
    sometimes
    1.17
     sometimes
    1.17
     may
    1.15
    can
    1.15
     Often
    1.04
     varies
    1.00
    Activations Density 0.614%

    No Known Activations