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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. 9-RES-JB
    11. 2409
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    Explanations

    the word "Rose"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Rose"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essions
    -0.74
     accelerated
    -0.66
    cffff
    -0.66
    redit
    -0.65
    SPONSORED
    -0.64
     fragmented
    -0.63
    merce
    -0.62
    ulhu
    -0.62
    selves
    -0.62
     aver
    -0.59
    POSITIVE LOGITS
    mary
    1.67
    anne
    1.27
    mont
    1.18
    velt
    1.16
    xual
    1.10
    mond
    1.06
    hill
    1.05
    water
    1.04
     Quartz
    1.03
    Rose
    1.01
    Activations Density 0.049%

    No Known Activations