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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. 8-RES-JB
    6. 2910
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    Explanations

    phrases related to suggestions, actions or instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating authority, desire, or calls to action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sponge
    -0.71
     Survivors
    -0.70
     sidx
    -0.65
     Actual
    -0.65
     unin
    -0.61
     elapsed
    -0.60
    atem
    -0.59
     apologised
    -0.59
     implied
    -0.57
     totaled
    -0.57
    POSITIVE LOGITS
    haven
    0.74
    must
    0.70
     enlist
    0.68
     hesitate
    0.68
     foss
    0.66
    NetMessage
    0.66
     consult
    0.65
    Ń·
    0.64
    hower
    0.64
    went
    0.64
    Activations Density 0.319%

    No Known Activations