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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. 3-RES-JB
    11. 23186
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    Explanations

    medical terms related to potential side effects

    oai_token-act-pair · gpt-3.5-turbo

    topics related to side effects, particularly in a medical context

    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
     ILCS
    -0.70
    anwhile
    -0.66
    ancies
    -0.65
    ynes
    -0.60
    owell
    -0.59
    apest
    -0.59
    tesy
    -0.59
    MSN
    -0.59
    STEM
    -0.59
    ongo
    -0.59
    POSITIVE LOGITS
    itol
    0.76
    draw
    0.76
    rollers
    0.74
    rium
    0.74
     noses
    0.64
    gery
    0.61
     thirds
    0.60
    attack
    0.60
    opy
    0.59
     hers
    0.59
    Activations Density 0.205%

    No Known Activations