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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. 6-RES-JB
    11. 14861
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    Explanations

    terms related to historical events, particularly focusing on the Holocaust

    oai_token-act-pair · gpt-3.5-turbo

    references to the Holocaust and related historical events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ateur
    -0.84
    amina
    -0.76
    uana
    -0.72
    tails
    -0.71
    ordinate
    -0.69
    gary
    -0.69
    ŃĶ
    -0.68
    erd
    -0.67
    ECA
    -0.66
    outheast
    -0.66
    POSITIVE LOGITS
    ocaust
    1.25
     Holocaust
    0.99
     Remem
    0.90
     Genocide
    0.81
     survivor
    0.80
     survivors
    0.79
     den
    0.78
     Memorial
    0.76
     Survivor
    0.76
    wald
    0.74
    Activations Density 0.028%

    No Known Activations