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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 18868
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    Explanations

    phrases related to challenges, obstacles, or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the" and its context within discussions of political and social issues

    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
    thood
    -0.92
     unless
    -0.77
    ERY
    -0.76
     describes
    -0.73
     distinguishes
    -0.72
     according
    -0.71
    achelor
    -0.70
    estate
    -0.70
     wherein
    -0.69
    vier
    -0.68
    POSITIVE LOGITS
     sheer
    1.19
     absence
    1.11
     slightest
    1.08
     fact
    1.07
     presence
    1.07
     likes
    1.05
     emergence
    1.05
     advent
    1.05
     influx
    1.04
     whims
    1.03
    Activations Density 0.369%

    No Known Activations