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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. 8-RES-JB
    11. 11006
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    Explanations

    adjectives and phrases related to the status or quality of an object

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quality or categorization of products and services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phia
    -0.74
    Sym
    -0.73
    ori
    -0.69
    flies
    -0.69
    KK
    -0.68
    HH
    -0.68
    illi
    -0.67
    USS
    -0.66
    Engineers
    -0.65
    nar
    -0.64
    POSITIVE LOGITS
    -
    0.84
     sided
    0.76
     minded
    0.71
     chained
    0.71
     thirds
    0.69
    âĢij
    0.69
     offending
    0.68
     ray
    0.68
     fide
    0.68
     dope
    0.64
    Activations Density 0.378%

    No Known Activations