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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. 11-RES-JB
    11. 5200
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    Explanations

    specific mentions of numbered items

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.89
    Indust
    -0.87
    ibaba
    -0.83
    soType
    -0.79
    é»Ĵ
    -0.78
    anguage
    -0.78
    ahime
    -0.76
    inventoryQuantity
    -0.76
    abase
    -0.75
    DAQ
    -0.73
    POSITIVE LOGITS
     trio
    1.39
     men
    1.37
     guys
    1.33
     boys
    1.32
     attackers
    1.31
     defendants
    1.30
     brothers
    1.28
     youngsters
    1.25
     occupants
    1.25
     girls
    1.25
    Activations Density 0.325%

    No Known Activations