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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. 12-RES-JB
    11. 3310
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    Explanations

    phrases related to law enforcement and crime investigations

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    incidents related to law enforcement and public safety

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erenn
    -0.71
    onom
    -0.70
    ãĤ¦ãĤ¹
    -0.68
    ãĤ´ãĥ³
    -0.67
    éŃĶ
    -0.66
    âĦ¢
    -0.66
    ħĭ
    -0.63
    Ide
    -0.62
    ®,
    -0.61
    æ©Ł
    -0.61
    POSITIVE LOGITS
     robbers
    1.12
     gunmen
    1.05
     assailants
    1.01
     robberies
    1.01
     gunman
    1.01
     arson
    1.00
     abducted
    0.99
     CCTV
    0.99
     gunfire
    0.98
     vandal
    0.98
    Activations Density 0.719%

    No Known Activations