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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    descriptions or mentions of individuals who are unarmed in various situations

    oai_token-act-pair · gpt-3.5-turbo

    references to unarmed individuals in the context of violent encounters or police actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     label
    -0.75
    rs
    -0.63
     Flip
    -0.63
    hub
    -0.62
     Stain
    -0.62
     Label
    -0.62
     Therapy
    -0.61
    ication
    -0.61
    rid
    -0.60
    rave
    -0.59
    POSITIVE LOGITS
     unarmed
    3.99
     nonviolent
    1.77
     armed
    1.52
    armed
    1.43
     arming
    1.35
     handcuffed
    1.23
    lethal
    1.23
     innocent
    1.22
     armored
    1.17
     disarm
    1.15
    Activations Density 0.023%

    No Known Activations