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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. 2-RES-JB
    11. 5468
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    Explanations

    words related to actions involving planning or building

    oai_token-act-pair · gpt-3.5-turbo

    terms related to construction and management activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    deal
    -0.80
    talk
    -0.79
    behind
    -0.72
    si
    -0.69
    dt
    -0.68
    ombat
    -0.66
    cas
    -0.65
    nings
    -0.64
    pel
    -0.64
    do
    -0.62
    POSITIVE LOGITS
    redients
    1.00
     oneself
    0.79
    tons
    0.76
    GGGGGGGG
    0.75
     conduc
    0.73
     Pengu
    0.70
    allery
    0.69
     electron
    0.67
    issance
    0.65
    utical
    0.62
    Activations Density 0.359%

    No Known Activations