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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. 14279
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    Explanations

    words related to changes or variations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to growth, improvement, or increases 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
    eatured
    -0.68
    ourning
    -0.68
    thing
    -0.66
    ools
    -0.66
    pton
    -0.64
    ographies
    -0.62
    finished
    -0.62
    alg
    -0.62
    umbn
    -0.60
    >]
    -0.60
    POSITIVE LOGITS
     exponentially
    1.37
     dramatically
    1.28
     markedly
    1.21
     drastically
    1.12
     considerably
    1.11
     sharply
    1.08
     astron
    1.05
     noticeably
    1.02
     substantially
    1.02
     tremendously
    0.99
    Activations Density 0.160%

    No Known Activations