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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 5535
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    Explanations

    words related to harmful or dangerous actions or objects

    oai_token-act-pair · gpt-3.5-turbo

    references to specific objects or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Const
    -0.73
    Surv
    -0.68
     Canad
    -0.67
    Critical
    -0.67
     Feder
    -0.66
    Effective
    -0.66
    vern
    -0.65
    umat
    -0.65
     misunder
    -0.65
    ocial
    -0.65
    POSITIVE LOGITS
     bike
    0.83
     shoe
    0.80
     carriage
    0.79
     pistol
    0.78
     camel
    0.75
     cylinder
    0.74
    bucks
    0.73
     rifle
    0.73
    bike
    0.73
    axe
    0.73
    Activations Density 0.429%

    No Known Activations