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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. 17045
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    INDEX
    Explanations

    instances where prepositions are used

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating purpose or intention

    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
     huh
    -0.68
    woman
    -0.62
    ame
    -0.60
    living
    -0.60
    seeing
    -0.60
    shire
    -0.59
    concept
    -0.58
     (!
    -0.58
    idav
    -0.58
     smelling
    -0.57
    POSITIVE LOGITS
     coincide
    1.37
     accompany
    1.35
     facilitate
    1.28
     enhance
    1.27
     encourage
    1.25
     assist
    1.21
     ensure
    1.21
     satisfy
    1.21
     accommodate
    1.20
     maximize
    1.19
    Activations Density 0.188%

    No Known Activations