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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. 3550
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    Explanations

    proper nouns, specifically the name "Fred" as a significant pattern

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Fred"

    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
    BOOK
    -0.71
    ĵĺ
    -0.68
     paraly
    -0.64
     tone
    -0.64
    Depth
    -0.64
     inhibitors
    -0.62
     forth
    -0.61
     tack
    -0.61
     injunction
    -0.60
     circulating
    -0.60
    POSITIVE LOGITS
    erick
    1.28
    rik
    1.14
    rick
    1.14
    riks
    1.08
    ricks
    1.08
    dy
    1.07
    ric
    1.05
    die
    1.03
    rique
    0.98
    dies
    0.97
    Activations Density 0.021%

    No Known Activations