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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
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    Explanations

    names related to psychology and philosophy

    oai_token-act-pair · gpt-3.5-turbo

    names of influential individuals and terms related to psychological concepts

    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
     IMAGES
    -0.79
    ctica
    -0.66
    ctic
    -0.62
    rollers
    -0.61
    Change
    -0.60
     LAT
    -0.59
    ãĥ¼ãĥ³
    -0.58
    riott
    -0.58
     Sabres
    -0.58
     Accuracy
    -0.57
    POSITIVE LOGITS
    ling
    0.94
    ler
    0.94
    lers
    0.92
    enstein
    0.90
    jriwal
    0.90
    ening
    0.87
    legate
    0.84
     Jung
    0.84
    les
    0.83
    indu
    0.81
    Activations Density 0.012%

    No Known Activations