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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. 9-RES-JB
    11. 14030
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    Explanations

    references to different groups of people and their characteristics or actions, with a focus on societal or political contexts

    oai_token-act-pair · gpt-3.5-turbo

    the pronoun "who" used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Anyway
    -0.77
     VIDEOS
    -0.70
     Anything
    -0.68
     Delicious
    -0.65
    Mech
    -0.65
     Apart
    -0.63
     Gothic
    -0.63
     Beet
    -0.62
     Bound
    -0.61
    Okay
    -0.61
    POSITIVE LOGITS
     specialize
    1.26
     are
    1.16
    've
    1.14
    oping
    1.14
     reside
    1.13
     were
    1.11
     weren
    1.11
     aren
    1.11
    oped
    1.08
     aspire
    1.06
    Activations Density 0.115%

    No Known Activations