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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. 2-RES-JB
    11. 11720
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    Explanations

    words related to visual and optical concepts

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of topics and subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EEE
    -0.83
    IVERS
    -0.78
    DragonMagazine
    -0.75
    HTTP
    -0.74
    IDE
    -0.73
    STON
    -0.71
    Miller
    -0.70
    DoS
    -0.69
    breaker
    -0.69
    DH
    -0.68
    POSITIVE LOGITS
    opic
    1.37
    thal
    0.91
    actory
    0.88
    opia
    0.88
    ignment
    0.82
    opy
    0.81
    entric
    0.78
    eus
    0.77
    eties
    0.77
     lenses
    0.76
    Activations Density 0.022%

    No Known Activations