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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. 4684
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    Explanations

    phrases related to providing or supplying something

    oai_token-act-pair · gpt-3.5-turbo

    words related to supply and distribution

    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
    otom
    -0.76
    ĸļ
    -0.75
     srfAttach
    -0.75
    ĪĴ
    -0.69
    thro
    -0.68
    Bench
    -0.67
     unfocusedRange
    -0.67
     Bench
    -0.66
     Bowser
    -0.66
     deaf
    -0.65
    POSITIVE LOGITS
    age
    0.80
    ages
    0.72
    luster
    0.72
     beverages
    0.71
     assurances
    0.65
    dates
    0.63
     begs
    0.63
     warranties
    0.62
     snacks
    0.62
    availability
    0.62
    Activations Density 0.094%

    No Known Activations