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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. 2831
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    Explanations

    specific instances or examples within a given context or scenario

    oai_token-act-pair · gpt-3.5-turbo

    references to specific contexts or conditions in a text

    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
    ULTS
    -0.86
    ãĥ¼ãĤ¯
    -0.85
    letters
    -0.81
    BIL
    -0.78
    keepers
    -0.78
    perse
    -0.78
    bows
    -0.75
    lets
    -0.75
    Ô
    -0.74
    boards
    -0.74
    POSITIVE LOGITS
     piece
    1.19
     situation
    1.12
     person
    1.06
     day
    1.00
     moment
    0.99
     episode
    0.99
     amount
    0.98
     batch
    0.98
     scene
    0.97
     item
    0.96
    Activations Density 0.107%

    No Known Activations