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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. 5-RES-JB
    6. 15128
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    Explanations

    references related to historical events, particularly focusing on the Holocaust

    oai_token-act-pair · gpt-3.5-turbo

    references to the Holocaust and related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ateur
    -0.89
    amina
    -0.81
    tails
    -0.78
    uana
    -0.77
    ŃĶ
    -0.74
    gary
    -0.68
     mates
    -0.68
    semble
    -0.68
    gap
    -0.68
    ordinate
    -0.67
    POSITIVE LOGITS
    ocaust
    1.22
     Holocaust
    1.06
     Remem
    0.90
     Genocide
    0.81
     survivor
    0.79
     survivors
    0.78
     Crisis
    0.77
     Memorial
    0.77
    wald
    0.76
     den
    0.76
    Activations Density 0.024%

    No Known Activations