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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. 10-RES-JB
    6. 22645
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    INDEX
    Explanations

    phrases related to general situations or circumstances

    oai_token-act-pair · gpt-3.5-turbo

    statements about the state of various situations or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enary
    -0.88
     acknowled
    -0.76
     caches
    -0.71
     Purch
    -0.71
     Flavoring
    -0.71
    enaries
    -0.69
     purchases
    -0.68
     Estimates
    -0.67
     Achievements
    -0.66
     haul
    -0.65
    POSITIVE LOGITS
     favorable
    1.21
     unfavorable
    1.17
     favourable
    1.15
     conducive
    1.15
     dire
    1.14
     ripe
    1.09
     precarious
    1.08
     deteriorating
    1.05
     bleak
    1.04
     tense
    1.01
    Activations Density 0.235%

    No Known Activations