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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 13301
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    Explanations

    words related to inspiring action or excitement

    oai_token-act-pair · gpt-3.5-turbo

    words related to causing change or influence

    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
     damned
    -0.64
     blasp
    -0.62
     forgiven
    -0.62
    hid
    -0.59
    fish
    -0.59
    anity
    -0.58
    cats
    -0.57
     expired
    -0.57
     billion
    -0.57
    famous
    -0.57
    POSITIVE LOGITS
    eering
    0.84
    GGGGGGGG
    0.77
    EMENT
    0.74
     recruitment
    0.69
    Initialized
    0.69
    aukee
    0.68
     Beir
    0.67
     recruiting
    0.67
    atives
    0.66
    ofi
    0.66
    Activations Density 0.103%

    No Known Activations