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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. 10-RES-JB
    11. 21384
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    Explanations

    phrases related to sales, technology, and dealing with personal relationships

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to product features and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doi
    -0.58
    ibaba
    -0.56
     ÂŃ
    -0.56
     Siri
    -0.54
     Juno
    -0.52
     BlackBerry
    -0.52
    ĸļ
    -0.51
    UGC
    -0.50
     emoji
    -0.50
    RNA
    -0.50
    POSITIVE LOGITS
    !.
    1.07
    !!!
    0.99
    !!!!
    0.99
     anyways
    0.91
    !!
    0.91
    !!!!!
    0.90
    .(
    0.90
    !".
    0.89
     theirs
    0.89
     :(
    0.89
    Activations Density 1.359%

    No Known Activations