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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. 4436
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    Explanations

    terms related to locations with "front" in them

    oai_token-act-pair · gpt-3.5-turbo

    references to waterfront or water-related locations

    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
    gger
    -0.80
    oka
    -0.75
    BIT
    -0.74
    chell
    -0.69
    ARP
    -0.68
    è¦ļéĨĴ
    -0.67
    ippery
    -0.67
     word
    -0.66
    ELL
    -0.66
    idi
    -0.65
    POSITIVE LOGITS
    front
    0.92
    raits
    0.88
    DragonMagazine
    0.83
    eous
    0.81
    side
    0.80
    folios
    0.79
    姫
    0.78
    cade
    0.78
    tyard
    0.76
    ertodd
    0.76
    Activations Density 0.018%

    No Known Activations