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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
    11. 2873
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    Explanations

    mentions of physical locations or structures such as booths

    oai_token-act-pair · gpt-3.5-turbo

    references to booths

    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
    ren
    -0.71
    urs
    -0.65
    math
    -0.65
     Princ
    -0.64
    rase
    -0.63
    ict
    -0.61
    yt
    -0.61
    akespe
    -0.61
    ilda
    -0.61
    ort
    -0.59
    POSITIVE LOGITS
     booth
    4.25
     booths
    3.12
     Booth
    1.93
     kios
    1.36
     exhib
    1.28
     plaza
    1.08
     stall
    1.08
     aisle
    1.04
     stalls
    1.02
     billboard
    1.00
    Activations Density 0.014%

    No Known Activations