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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. 15692
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "named" followed by a name or character reference

    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
    -0.87
    âķIJ
    -0.82
    âķIJâķIJ
    -0.77
    EMS
    -0.77
    iership
    -0.77
    pling
    -0.76
    qua
    -0.73
    aukee
    -0.73
    pled
    -0.72
    ibraries
    -0.72
    POSITIVE LOGITS
     Sov
    0.87
     Ir
    0.84
     TOM
    0.84
     aliases
    0.79
     surn
    0.79
     Xen
    0.79
     Faw
    0.78
     Watt
    0.77
     Ares
    0.77
     Seymour
    0.77
    Activations Density 0.032%

    No Known Activations