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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. 4504
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    Explanations

    references to historical figures and political ideologies, particularly focusing on "Stalin"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Stalin and his associated historical context

    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
    rium
    -0.69
     Eucl
    -0.69
    kens
    -0.69
    LOAD
    -0.66
    grades
    -0.65
     Pegasus
    -0.65
    IGN
    -0.65
    lihood
    -0.65
    Merit
    -0.64
    gain
    -0.64
    POSITIVE LOGITS
     Stalin
    1.11
    éĹĺ
    1.05
    ist
    1.04
    ascus
    0.97
    istically
    0.97
    istic
    0.91
    ism
    0.91
     Nadu
    0.87
    Lenin
    0.87
    ists
    0.86
    Activations Density 0.018%

    No Known Activations