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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. 0-RES-JB
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    Explanations

    instances of the name "Tam"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Tam" in various contexts

    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
    quote
    -0.77
    uary
    -0.69
    uliffe
    -0.68
    olate
    -0.68
    wagon
    -0.67
     cryptoc
    -0.64
    ournal
    -0.63
    bleacher
    -0.62
    umper
    -0.62
    advertising
    -0.62
    POSITIVE LOGITS
     Tam
    3.95
    Tam
    3.42
     tam
    2.19
     Tamil
    1.53
     Tammy
    1.34
     TAM
    1.32
     Nir
    1.27
     Lum
    1.21
     Shim
    1.12
     Tan
    1.10
    Activations Density 0.034%

    No Known Activations