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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. 9-RES-JB
    11. 2412
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    Explanations

    locations or geographical information

    oai_token-act-pair · gpt-3.5-turbo

    references to violent events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adder
    -0.59
    Handler
    -0.57
    Statement
    -0.57
     Compet
    -0.57
     induct
    -0.56
     mishand
    -0.55
    STD
    -0.54
     Advertisement
    -0.54
    TPP
    -0.53
    Versions
    -0.53
    POSITIVE LOGITS
     northwest
    1.17
     southwest
    1.15
     southwestern
    1.14
     southeastern
    1.10
     northeast
    1.10
     northeastern
    1.10
     northwestern
    1.10
     suburbs
    1.09
     rural
    1.08
     southeast
    1.08
    Activations Density 1.186%

    No Known Activations