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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

    ways that individuals exploit different situations, people, or systems for their own benefit

    oai_token-act-pair · gpt-3.5-turbo

    terms related to exploitation or exploitative practices

    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
    arat
    -0.96
    cas
    -0.72
    ucket
    -0.71
    prints
    -0.68
     Presbyter
    -0.68
    ael
    -0.68
     millenn
    -0.68
    think
    -0.67
    hair
    -0.67
    put
    -0.66
    POSITIVE LOGITS
     exploited
    0.94
     exploiting
    0.94
     loopholes
    0.91
    oit
    0.87
     exploit
    0.86
    oise
    0.86
    ãĥ¼ãĥĨãĤ£
    0.86
     weaknesses
    0.86
     exploitation
    0.81
    CVE
    0.81
    Activations Density 0.013%

    No Known Activations