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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. 4-RES-JB
    11. 16688
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    Explanations

    words related to intense preoccupation or focus

    oai_token-act-pair · gpt-3.5-turbo

    terms related to obsessive behavior

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

    No Comments

    Negative Logits
    stood
    -0.79
     Pesh
    -0.75
    Medic
    -0.75
    channelAvailability
    -0.72
    izont
    -0.71
    ND
    -0.70
     Sudan
    -0.67
    acements
    -0.65
    marg
    -0.65
    izontal
    -0.64
    POSITIVE LOGITS
     obsess
    0.93
    ishly
    0.81
    ively
    0.79
     obsessive
    0.78
     obsessed
    0.73
    ãĥ¯ãĥ³
    0.73
    ilyn
    0.72
     obsession
    0.71
     obs
    0.71
    idious
    0.71
    Activations Density 0.031%

    No Known Activations