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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. 3853
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    Explanations

    phrases related to changes in status or condition

    oai_token-act-pair · gpt-3.5-turbo

    words related to changes in state or condition

    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
    RN
    -0.69
    eatured
    -0.67
    umbn
    -0.65
    involved
    -0.61
    responsible
    -0.60
    nih
    -0.60
    grain
    -0.60
    urus
    -0.60
    ican
    -0.59
    rio
    -0.58
    POSITIVE LOGITS
     considerably
    1.20
     markedly
    1.14
     somewhat
    1.04
     noticeably
    1.03
     significantly
    1.00
     substantially
    0.95
     dramatically
    0.93
     sharply
    0.93
     slightly
    0.83
     marginally
    0.83
    Activations Density 0.219%

    No Known Activations