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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. 3-RES-JB
    11. 23452
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    Explanations

    We couldn't find a clear pattern in the activations provided that would allow us to summarize what Neuron 4 is looking for in a single sentence without specific examples of words

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the abbreviation "KT" and related acronyms or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exha
    -0.86
    accompan
    -0.80
    interstitial
    -0.79
     congr
    -0.76
    theless
    -0.73
     censor
    -0.71
    ãĤĭ
    -0.71
    byss
    -0.70
     convol
    -0.69
    ufact
    -0.68
    POSITIVE LOGITS
    urtle
    1.00
    ropy
    1.00
    ract
    0.99
    ro
    0.97
    rop
    0.94
    rix
    0.92
    ARGET
    0.90
    acular
    0.88
    ief
    0.88
    rod
    0.87
    Activations Density 0.020%

    No Known Activations