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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. 0-RES-JB
    6. 10869
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    Explanations

    words related to handles or levers, particularly those associated with equipment or devices

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "lers" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cum
    -0.64
     Cum
    -0.63
     Union
    -0.59
     SD
    -0.58
     Ver
    -0.57
     pulse
    -0.56
    UNCH
    -0.55
     option
    -0.55
     Dark
    -0.55
     conv
    -0.55
    POSITIVE LOGITS
    lers
    4.52
    ler
    2.89
    lings
    1.89
    LER
    1.88
    ling
    1.77
    lest
    1.63
    les
    1.42
    chers
    1.37
    tons
    1.37
    erers
    1.36
    Activations Density 0.005%

    No Known Activations