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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. 12-RES-JB
    6. 15064
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    Explanations

    phrases related to competition or conflict

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases related to actions, particularly those expressing intention or direction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vette
    -0.69
    PLA
    -0.68
     Mobil
    -0.67
    rov
    -0.66
     Riv
    -0.65
    iven
    -0.64
    iev
    -0.64
     intervene
    -0.64
    oti
    -0.63
     improv
    -0.62
    POSITIVE LOGITS
     Head
    2.22
     Heads
    2.21
    Head
    2.18
     head
    2.10
     heads
    2.08
    head
    1.95
     HEAD
    1.94
    heads
    1.92
    HEAD
    1.74
     tails
    1.61
    Activations Density 0.170%

    No Known Activations