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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. 1-RES-JB
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    Explanations

    the word "intervention"

    oai_token-act-pair · gpt-3.5-turbo

    references to interventions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WE
    -0.75
    âĢ¢âĢ¢
    -0.69
    Earn
    -0.68
    Vert
    -0.68
    Bio
    -0.68
    Export
    -0.67
     Fortune
    -0.67
    VK
    -0.67
    ¢
    -0.67
    carbon
    -0.67
    POSITIVE LOGITS
     intervention
    1.30
     interventions
    1.05
     interven
    1.02
     intervene
    1.01
     intervened
    0.92
    anke
    0.89
     Intervention
    0.87
     destro
    0.87
    ateral
    0.82
     Rohing
    0.82
    Activations Density 0.005%

    No Known Activations