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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. 3-RES-JB
    11. 16274
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    INDEX
    Explanations

    phrases related to actions or objects that are deceptive or misleading

    oai_token-act-pair · gpt-3.5-turbo

    references to pretense or deception

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SHIP
    -0.85
    20439
    -0.79
    OTOS
    -0.74
     GOODMAN
    -0.71
     Annotations
    -0.70
    à¼
    -0.66
    è£ħ
    -0.65
    OE
    -0.65
     [|
    -0.64
     Blueprint
    -0.64
    POSITIVE LOGITS
    entious
    1.09
    zel
    1.06
    ensions
    1.02
     pret
    1.00
    ension
    1.00
    inen
    0.95
    reatment
    0.95
    reated
    0.88
    anooga
    0.87
    rial
    0.85
    Activations Density 0.010%

    No Known Activations