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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
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    Explanations

    names related to historical political figures

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 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
    yll
    -0.74
    rium
    -0.70
    rights
    -0.70
    LOAD
    -0.69
    gain
    -0.67
    IGN
    -0.66
    PE
    -0.66
    Trend
    -0.65
    lihood
    -0.64
    ilation
    -0.64
    POSITIVE LOGITS
     Stalin
    1.12
    istically
    0.93
    istic
    0.79
    ist
    0.79
    éĹĺ
    0.77
    Lenin
    0.76
    ascus
    0.75
     Lenin
    0.75
    itary
    0.75
    omics
    0.74
    Activations Density 0.011%

    No Known Activations