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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 10782
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    Explanations

    reptiles and animals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific animal species and their characteristics

    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
    material
    -0.78
    Property
    -0.76
    ionics
    -0.75
    aceutical
    -0.74
    Media
    -0.73
    utical
    -0.72
    measures
    -0.72
    imity
    -0.71
    ettings
    -0.70
    Market
    -0.70
    POSITIVE LOGITS
     deer
    1.30
     coy
    1.29
     wolves
    1.27
     crocod
    1.24
     buffalo
    1.22
     grizz
    1.22
     hump
    1.22
     elephants
    1.21
     squirrel
    1.21
     tigers
    1.19
    Activations Density 0.291%

    No Known Activations