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    1. Home
    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. 13795
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    Explanations

    terms related to psychoactive substances and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to psychoactive substances

    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
    HCR
    -0.76
    urat
    -0.76
    MENTS
    -0.75
    ICAN
    -0.74
    UAL
    -0.72
    RL
    -0.71
    erous
    -0.69
    swick
    -0.68
    UES
    -0.68
    Newsletter
    -0.67
    POSITIVE LOGITS
    analysis
    0.98
     psycho
    0.98
    ises
    0.90
    active
    0.85
     absor
    0.83
    ega
    0.82
    igmatic
    0.76
    acs
    0.70
    osis
    0.70
     analyse
    0.69
    Activations Density 0.012%

    No Known Activations