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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. 15783
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    INDEX
    Explanations

    phrases related to unity or coming together

    oai_token-act-pair · gpt-3.5-turbo

    instances of cohesion and collaboration

    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
    vertising
    -0.72
    scription
    -0.68
    hole
    -0.66
     Television
    -0.61
     Passage
    -0.60
     Clicker
    -0.60
     Carney
    -0.60
    renheit
    -0.59
     quoted
    -0.58
     Promotion
    -0.57
    POSITIVE LOGITS
     disparate
    1.38
     geographically
    1.04
     together
    1.04
     neatly
    1.01
     oppos
    0.92
    together
    0.91
     dispersed
    0.89
     fragmented
    0.87
     scattered
    0.87
     Together
    0.85
    Activations Density 0.430%

    No Known Activations