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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 5808
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    Explanations

    names of a particular individual

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Isha."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     av
    -0.65
     redundancy
    -0.64
     arr
    -0.64
     paid
    -0.62
     rout
    -0.62
     layers
    -0.61
     plank
    -0.61
     communism
    -0.61
     plot
    -0.61
     borne
    -0.60
    POSITIVE LOGITS
    isha
    4.64
    iki
    1.21
    ika
    1.20
    essa
    1.16
    asha
    1.16
    sha
    1.15
    usha
    1.13
    issa
    1.10
    ataka
    1.10
    ishi
    1.10
    Activations Density 0.009%

    No Known Activations