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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. 10953
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    Explanations

    negative values or words related to military actions

    oai_token-act-pair · gpt-3.5-turbo

    the end of a document or a clear division between sections

    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
     Norris
    -0.60
    kson
    -0.53
     ausp
    -0.53
     Emerson
    -0.50
     Debor
    -0.49
    ãĥ¼ãĥĨ
    -0.49
     proport
    -0.49
     Arabian
    -0.49
     Dickinson
    -0.48
     Peb
    -0.48
    POSITIVE LOGITS
    tailed
    0.84
    mounted
    0.83
    sized
    0.81
    hander
    0.75
    initialized
    0.75
    unit
    0.74
    themed
    0.73
    machine
    0.73
    level
    0.72
    eyed
    0.72
    Activations Density 0.163%

    No Known Activations