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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. 9-RES-JB
    11. 14819
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    Explanations

    titles or names related to various events, locations, or people

    oai_token-act-pair · gpt-3.5-turbo

    titles and names associated with various subjects or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.91
     coh
    -0.90
     seiz
    -0.84
     awa
    -0.82
     brill
    -0.82
    theless
    -0.81
     embr
    -0.81
     nodd
    -0.80
     swell
    -0.80
    jri
    -0.79
    POSITIVE LOGITS
     View
    0.84
     Tun
    0.83
     Cancer
    0.82
     Rocky
    0.80
     Former
    0.80
     Or
    0.77
     Te
    0.77
     Rolling
    0.77
     Ant
    0.76
     Ag
    0.76
    Activations Density 0.129%

    No Known Activations