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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
    11. 16741
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to crime and violence

    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
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    No Comments

    Negative Logits
    akings
    -0.71
    姫
    -0.69
     Methods
    -0.66
     virtues
    -0.64
    irs
    -0.63
     Machines
    -0.62
    doms
    -0.61
     Gods
    -0.60
     Sacrament
    -0.60
     circumstances
    -0.59
    POSITIVE LOGITS
     consisting
    0.85
    ifier
    0.76
    robe
    0.76
    cko
    0.74
    forcer
    0.72
     akin
    0.72
     simulator
    0.69
    rette
    0.67
    posium
    0.66
    load
    0.65
    Activations Density 0.590%

    No Known Activations