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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. 15532
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    Explanations

    words related to prioritization, emphasizing the importance of certain actions or concepts

    oai_token-act-pair · gpt-3.5-turbo

    words indicating actions or processes related to citizenship or societal dynamics

    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
    sw
    -0.67
     intent
    -0.62
     towel
    -0.62
    nex
    -0.61
     intention
    -0.61
    street
    -0.60
     error
    -0.59
     prem
    -0.58
     lights
    -0.58
     sphere
    -0.58
    POSITIVE LOGITS
    ometimes
    1.03
    hift
    0.97
    hirt
    0.97
    olate
    0.96
    ilver
    0.93
    omething
    0.92
    pread
    0.87
    imentary
    0.86
    olation
    0.83
    olated
    0.83
    Activations Density 0.083%

    No Known Activations