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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. 6952
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    Explanations

    statements discussing examples and causes

    oai_token-act-pair · gpt-3.5-turbo

    references to social or political issues related to safety and violence

    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
    Legend
    -0.86
    nesday
    -0.77
    ãĤ´ãĥ³
    -0.77
    çĶ°
    -0.72
    ©¶æ¥µ
    -0.69
    Located
    -0.68
    yssey
    -0.68
     Guru
    -0.68
     Legend
    -0.67
    uin
    -0.67
    POSITIVE LOGITS
     harms
    1.26
     nonviolent
    1.25
     perpetrators
    1.16
     harm
    1.14
     deterrence
    1.13
     unintended
    1.09
     coercive
    1.04
     democracies
    1.02
     coerc
    0.99
     behaviors
    0.98
    Activations Density 1.157%

    No Known Activations