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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. 22587
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    Explanations

    instances where a specific amount is mentioned in a context

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify amounts

    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
    ħĭ
    -0.89
    ĸļ
    -0.84
    endants
    -0.74
    most
    -0.73
    Ń·
    -0.73
     Cosponsors
    -0.72
    stal
    -0.70
    Names
    -0.66
    ands
    -0.66
    reys
    -0.66
    POSITIVE LOGITS
     money
    1.05
     firepower
    0.98
     information
    0.93
     mileage
    0.91
     time
    0.89
     manpower
    0.89
     autonomy
    0.87
     resources
    0.87
     material
    0.83
     effort
    0.81
    Activations Density 0.098%

    No Known Activations