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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. 5052
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    Explanations

    references to "Sacramento" or variations of the word

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Sacramento" or variations of it

    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
     Turk
    -0.73
    ITNESS
    -0.72
     Cheong
    -0.72
    DonaldTrump
    -0.69
    backer
    -0.67
    agher
    -0.66
    ãĥī
    -0.64
    è¦ļéĨĴ
    -0.63
     Roosevelt
    -0.62
     Pebble
    -0.61
    POSITIVE LOGITS
    char
    1.17
    ificial
    1.13
    rament
    1.06
    het
    0.99
    rum
    0.96
    iety
    0.96
    anus
    0.93
    hedral
    0.91
    rifice
    0.89
    raf
    0.89
    Activations Density 0.033%

    No Known Activations