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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. 10-RES-JB
    11. 5924
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    INDEX
    Explanations

    adjectives for physical traits and characteristics

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with specific animals and industrial terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Asset
    -1.00
    Subject
    -0.81
    System
    -0.80
    Present
    -0.79
    Ward
    -0.77
    Stretch
    -0.77
    Rule
    -0.75
    Dynamic
    -0.75
    Task
    -0.74
    Effective
    -0.74
    POSITIVE LOGITS
     python
    0.79
     negro
    0.77
     gorilla
    0.77
     eleph
    0.76
    psons
    0.75
     pig
    0.74
     versus
    0.74
     Python
    0.73
     Cob
    0.72
     Pist
    0.72
    Activations Density 0.325%

    No Known Activations