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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. 7-RES-JB
    11. 4883
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    Explanations

    We don't have enough strong activations to determine what neuron 4 is looking for

    oai_token-act-pair · gpt-3.5-turbo

    references to "Wiki" and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.96
     charism
    -0.69
     headphones
    -0.67
    taboola
    -0.64
    obby
    -0.63
    lah
    -0.63
    NetMessage
    -0.61
     neigh
    -0.61
    ecause
    -0.60
    owship
    -0.60
    POSITIVE LOGITS
    Leaks
    1.23
    wiki
    1.01
     Commons
    0.89
    hack
    0.85
    ileaks
    0.83
    ipedia
    0.77
     encyclopedia
    0.74
    lement
    0.73
    lde
    0.71
    root
    0.69
    Activations Density 0.019%

    No Known Activations