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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. 5-RES-JB
    6. 18976
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    Explanations

    mentions of the name "Sydney"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Sydney."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ça
    -0.67
     deaf
    -0.66
    voy
    -0.64
    Xi
    -0.63
     pity
    -0.60
     resolve
    -0.60
    TAIN
    -0.60
     FIRE
    -0.60
     caution
    -0.59
    TRY
    -0.58
    POSITIVE LOGITS
    roxy
    1.09
    roid
    1.08
    aniel
    1.06
    rox
    1.03
    essert
    0.98
    ynamic
    0.93
    imentary
    0.93
    ere
    0.93
    ritch
    0.93
    ynam
    0.90
    Activations Density 0.010%

    No Known Activations