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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. 10998
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    Explanations

    proper nouns, specifically the name "Oliver"

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the name "Oliver" in various contexts

    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
    mble
    -0.85
    eanor
    -0.76
    Downloadha
    -0.74
    BOOK
    -0.74
    essor
    -0.73
    habi
    -0.72
    Ħ¢
    -0.71
    ulhu
    -0.71
    yip
    -0.71
    arching
    -0.70
    POSITIVE LOGITS
     Twist
    0.99
     Oliver
    0.85
     Crom
    0.83
     Wend
    0.83
    sson
    0.80
    tein
    0.73
    sen
    0.71
     Klein
    0.71
    nel
    0.71
    icity
    0.70
    Activations Density 0.022%

    No Known Activations