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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. 9465
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    Explanations

    details about various instances of individuals being killed in different circumstances

    oai_token-act-pair · gpt-3.5-turbo

    references to casualties or fatalities

    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
    yrinth
    -0.67
     CLSID
    -0.66
    rium
    -0.66
    wcsstore
    -0.64
    ZX
    -0.64
    Cola
    -0.62
    idth
    -0.62
    ums
    -0.61
    GY
    -0.60
     delim
    -0.59
    POSITIVE LOGITS
     tragically
    0.81
     by
    0.76
     spree
    0.76
     gunned
    0.76
     slain
    0.76
    ousel
    0.73
    heading
    0.73
    locked
    0.72
     rampage
    0.71
     fighting
    0.71
    Activations Density 0.057%

    No Known Activations