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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. 6-RES-JB
    11. 9716
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    Explanations

    specific items or locations mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    language referring to specific attributes or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IVERS
    -0.96
    ults
    -0.83
    udi
    -0.83
    acers
    -0.76
    birds
    -0.75
    docs
    -0.74
    masters
    -0.73
    ãĥ¼ãĤ¯
    -0.73
    abies
    -0.72
    iddles
    -0.72
    POSITIVE LOGITS
     amount
    1.32
     number
    1.09
     subset
    1.04
     predetermined
    1.03
     percentage
    1.01
     location
    1.00
     quantity
    0.99
     degree
    0.93
     piece
    0.91
     destination
    0.91
    Activations Density 0.097%

    No Known Activations