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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 13130
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    Explanations

    names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly focusing on the name "Levin" and related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.81
    opsy
    -0.75
    akening
    -0.74
    facebook
    -0.74
    į
    -0.72
    gered
    -0.71
    oops
    -0.70
    ersion
    -0.69
    service
    -0.68
    Asia
    -0.68
    POSITIVE LOGITS
     Levin
    1.05
     Levy
    0.83
    igham
    0.80
    itsch
    0.78
     Katz
    0.77
     Kessler
    0.74
     Shapiro
    0.71
    ifer
    0.71
     Lerner
    0.69
    ividual
    0.68
    Activations Density 0.009%

    No Known Activations