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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. 11-RES-JB
    11. 10154
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    Explanations

    phrases related to conversation and dialogue

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "and" as a conjunction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ³ãĤ¸
    -0.91
    owered
    -0.89
    OWN
    -0.74
    ãĤ´ãĥ³
    -0.74
    escription
    -0.69
     pione
    -0.69
    zan
    -0.69
    ongyang
    -0.68
    Initialized
    -0.68
    cko
    -0.67
    POSITIVE LOGITS
     plenty
    1.17
     lots
    1.16
     secondly
    1.05
     luckily
    1.03
     there
    1.03
     maybe
    1.00
     we
    0.99
     moreover
    0.97
     hopefully
    0.96
     tons
    0.95
    Activations Density 0.295%

    No Known Activations