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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. 22730
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    INDEX
    Explanations

    phrases related to self-improvement and accountability

    oai_token-act-pair · gpt-3.5-turbo

    themes related to positivity and encouragement

    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
     bona
    -0.79
     godd
    -0.78
     Hemisphere
    -0.77
     goddamn
    -0.75
     egreg
    -0.74
     Godd
    -0.74
     promptly
    -0.73
     subpoena
    -0.72
     authorize
    -0.71
     subpoen
    -0.70
    POSITIVE LOGITS
     loneliness
    1.19
     counselling
    1.11
     youths
    1.10
     behaviours
    1.09
     behavioural
    1.05
     emphas
    1.05
    oneliness
    1.00
     pupils
    0.98
     programmes
    0.98
     migrants
    0.97
    Activations Density 1.059%

    No Known Activations