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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. 8-RES-JB
    11. 24262
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    Explanations

    phrases related to negative events or potential harm

    oai_token-act-pair · gpt-3.5-turbo

    terms related to safety and harm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ku
    -0.77
    liam
    -0.73
    kt
    -0.72
    ortment
    -0.71
    last
    -0.68
    utm
    -0.67
    achment
    -0.65
    ãĤ¨
    -0.65
    stud
    -0.65
    eele
    -0.65
    POSITIVE LOGITS
     nor
    1.36
     whatsoever
    1.33
     anymore
    1.20
     anybody
    0.91
     except
    0.84
     anywhere
    0.80
     anything
    0.80
     slightest
    0.78
     anyone
    0.77
    nor
    0.77
    Activations Density 0.540%

    No Known Activations