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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. 9-RES-JB
    11. 5695
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    INDEX
    Explanations

    mentions of blood and related actions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to blood or bloodshed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.88
    elligent
    -0.80
    CLASS
    -0.79
    sonian
    -0.76
    Universal
    -0.74
    SpaceEngineers
    -0.71
    ICO
    -0.71
    ipolar
    -0.71
    omo
    -0.70
    initions
    -0.70
    POSITIVE LOGITS
     stains
    1.33
     bruises
    1.28
     wounds
    1.18
     sweat
    1.16
     scars
    1.11
     cheeks
    1.11
     stain
    1.10
     soaked
    1.07
    stained
    1.07
     spilled
    1.05
    Activations Density 0.323%

    No Known Activations