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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. 10-RES-JB
    11. 24334
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    Explanations

    occurrences of the preposition "in" within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to violent incidents and crime scenes

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ":"/
    -0.77
     someday
    -0.77
     cures
    -0.75
     inval
    -0.75
    TPP
    -0.75
    issance
    -0.71
     thous
    -0.69
    NOW
    -0.69
    CLASSIFIED
    -0.68
     cure
    -0.67
    POSITIVE LOGITS
     southeastern
    1.17
     southwestern
    1.15
     northwestern
    1.15
     northwest
    1.14
     southwest
    1.12
     northeastern
    1.09
     northeast
    1.06
     downtown
    1.06
     eastern
    1.05
     southeast
    1.02
    Activations Density 0.135%

    No Known Activations