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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. 18244
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    Explanations

    terms related to legal and medical incidents

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to various health-related issues or concerns

    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
    IVER
    -0.80
    ample
    -0.79
    ifter
    -0.74
    AUT
    -0.73
    Bay
    -0.70
    oise
    -0.70
     Muller
    -0.68
    ARD
    -0.67
    \\\\\\\\
    -0.65
    assis
    -0.64
    POSITIVE LOGITS
    tenance
    0.86
     newsp
    0.82
     proble
    0.81
    paren
    0.78
    merce
    0.77
    ativity
    0.77
    ness
    0.75
    nesses
    0.75
    quartered
    0.75
    related
    0.74
    Activations Density 0.015%

    No Known Activations