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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
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    Explanations

    references to a specific location, namely New Orleans

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of New Orleans

    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
    æ³
    -0.76
    ischer
    -0.75
    BOOK
    -0.74
    ãĤ¯
    -0.72
    OTHER
    -0.70
    ship
    -0.69
    ULE
    -0.67
    clock
    -0.67
    icial
    -0.66
    sch
    -0.65
    POSITIVE LOGITS
     Pelicans
    1.15
     Saints
    0.87
     Parish
    0.86
     Orleans
    0.82
    leans
    0.78
    boro
    0.76
     Brass
    0.72
     Angeles
    0.70
    ois
    0.69
    ques
    0.68
    Activations Density 0.006%

    No Known Activations