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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. 1-RES-JB
    6. 5054
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    INDEX
    Explanations

    instances where something is described to be intentionally distorted

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to opinions on political or environmental issues

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ModLoader
    -0.48
     Seym
    -0.43
    ody
    -0.37
     Pastebin
    -0.36
    umerable
    -0.36
    vati
    -0.35
    awar
    -0.35
     carrier
    -0.35
    agall
    -0.35
     vulner
    -0.34
    POSITIVE LOGITS
     furthermore
    0.45
    orporated
    0.45
     moreover
    0.43
    bourg
    0.42
     UNESCO
    0.42
    gered
    0.42
    anwhile
    0.41
    oths
    0.41
    enegger
    0.40
    lycer
    0.40
    Activations Density 5.201%

    No Known Activations