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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. 3-RES-JB
    6. 12995
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    INDEX
    Explanations

    phrases related to disappointment or removal

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements or scenarios indicating potential events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    flo
    -0.82
    cess
    -0.80
    itionally
    -0.76
    vol
    -0.70
     Choice
    -0.68
    onel
    -0.68
     busiest
    -0.68
    cial
    -0.67
    assi
    -0.67
    icians
    -0.66
    POSITIVE LOGITS
     Osc
    0.76
     Izan
    0.73
     Advent
    0.69
    Sov
    0.69
    arnaev
    0.67
     coh
    0.65
    uin
    0.65
     christ
    0.65
     cruc
    0.64
    doms
    0.62
    Activations Density 0.000%

    No Known Activations