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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. 6-RES-JB
    11. 20328
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    Explanations

    references to mass shooting incidents, particularly focusing on specific locations and details of the events

    oai_token-act-pair · gpt-3.5-turbo

    references to tragic events and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dit
    -0.81
    iculture
    -0.76
    ,,,,
    -0.76
    DEP
    -0.72
    ELY
    -0.71
    lishes
    -0.71
    Companies
    -0.68
    "}],"
    -0.68
    ournals
    -0.67
    */(
    -0.67
    POSITIVE LOGITS
     uprising
    1.02
     massacre
    1.01
     riots
    1.00
     Hebdo
    0.99
     bombings
    0.99
     assassination
    0.95
    arnaev
    0.95
     bombing
    0.94
     shootings
    0.94
     Snowden
    0.92
    Activations Density 1.168%

    No Known Activations