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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    mentions of suspects involved in criminal activities and related events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of suspects in criminal reports

    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
    unch
    -0.83
    psey
    -0.74
    ankind
    -0.73
    galitarian
    -0.71
    nz
    -0.70
    owan
    -0.69
    ntil
    -0.69
    atism
    -0.69
    hab
    -0.69
    ann
    -0.68
    POSITIVE LOGITS
     suspect
    0.94
     suspects
    0.93
    istani
    0.77
     mishand
    0.76
     CSI
    0.73
     perpetrator
    0.72
     perpetrators
    0.66
     Tsarnaev
    0.66
     Innocent
    0.65
    itives
    0.65
    Activations Density 0.017%

    No Known Activations