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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

    phrases related to violent actions, particularly involving shooting and death

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to violent actions and outcomes

    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
    heit
    -0.90
    ername
    -0.76
     Username
    -0.75
    sylv
    -0.74
     Administ
    -0.73
    SPONSORED
    -0.68
    leans
    -0.68
    Administ
    -0.67
    isd
    -0.67
    ÃŁ
    -0.66
    POSITIVE LOGITS
     torped
    0.91
     espresso
    0.88
     lasers
    0.76
     unarmed
    0.75
     bullets
    0.75
     cannon
    0.74
     sparks
    0.72
     adrenaline
    0.71
     bombard
    0.68
     arresting
    0.68
    Activations Density 0.213%

    No Known Activations