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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. 4-RES-JB
    11. 2831
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    Explanations

    words related to historical events and locations, particularly concentrations camps like Auschwitz

    oai_token-act-pair · gpt-3.5-turbo

    references to historical locations and events related to the Holocaust and concentration camps

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

    No Comments

    Negative Logits
    yip
    -0.88
    ornia
    -0.82
    guyen
    -0.78
    yss
    -0.76
    lass
    -0.74
     Niet
    -0.74
     warr
    -0.74
    mares
    -0.74
    ds
    -0.72
    psons
    -0.72
    POSITIVE LOGITS
     Pact
    0.84
     Twain
    0.74
     Flavoring
    0.71
    chwitz
    0.67
    ansas
    0.66
    éĹĺ
    0.66
    akra
    0.64
     assigning
    0.64
    Pull
    0.64
    insk
    0.62
    Activations Density 0.034%

    No Known Activations