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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. 23648
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    Explanations

    adverbs related to quality or condition

    oai_token-act-pair · gpt-3.5-turbo

    adverbs or adjectives that describe poor quality or performance

    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
    raltar
    -0.80
     impossibility
    -0.78
    urous
    -0.77
    onut
    -0.71
    orno
    -0.71
     unwillingness
    -0.69
    ados
    -0.67
    umption
    -0.67
     necessity
    -0.67
    aily
    -0.66
    POSITIVE LOGITS
     formatted
    1.27
     calibrated
    1.22
     behaved
    1.18
     configured
    1.12
     executed
    1.11
     timed
    1.11
     aligned
    1.11
     handled
    1.10
     trained
    1.09
     crafted
    1.09
    Activations Density 0.102%

    No Known Activations