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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. 6-RES-JB
    11. 17376
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    Explanations

    words related to deceitful behavior or false appearances

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "pret" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.89
    OTE
    -0.65
     Annotations
    -0.65
     [|
    -0.65
    stocks
    -0.64
    士
    -0.64
    OTOS
    -0.64
     Observatory
    -0.62
    itability
    -0.62
    SHIP
    -0.62
    POSITIVE LOGITS
    entious
    1.13
    reatment
    1.10
    rial
    1.00
    reating
    0.98
    zel
    0.95
    estate
    0.94
    heon
    0.93
    reated
    0.92
    inent
    0.89
     pret
    0.85
    Activations Density 0.039%

    No Known Activations