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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. 6-RES-JB
    11. 24403
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    Explanations

    terms indicating a preference for one option over another

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases indicating preference or contrast

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awar
    -0.67
    auri
    -0.65
    enos
    -0.64
    ihara
    -0.62
    oro
    -0.61
    ender
    -0.60
    Phys
    -0.60
    amon
    -0.59
    minent
    -0.59
    ret
    -0.59
    POSITIVE LOGITS
    christ
    0.94
     preferably
    0.79
     excluding
    0.65
     preferring
    0.65
     congr
    0.64
     Shogun
    0.61
     evidenced
    0.61
     respectively
    0.59
    fortunately
    0.59
    despite
    0.57
    Activations Density 0.312%

    No Known Activations