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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. 6-RES-JB
    6. 16725
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    INDEX
    Explanations

    phrases related to personal experiences and emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotional struggle and feelings of hopelessness

    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
    ocratic
    -0.72
     themselves
    -0.68
    aic
    -0.67
    guy
    -0.64
     Coalition
    -0.63
    idates
    -0.61
     Historically
    -0.60
     Representatives
    -0.60
     representatives
    -0.60
     Priebus
    -0.60
    POSITIVE LOGITS
     myself
    0.89
     thankful
    0.82
     imagining
    0.82
     wonder
    0.75
     regret
    0.75
     wondering
    0.74
     craving
    0.74
    ournals
    0.74
     remembering
    0.73
     pict
    0.73
    Activations Density 0.511%

    No Known Activations