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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. 1-RES-JB
    11. 24250
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    Explanations

    volume measurements expressed in milliliters

    oai_token-act-pair · gpt-3.5-turbo

    measurements of volume and capacity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Warriors
    -0.87
     Crus
    -0.72
     Defenders
    -0.67
     Pixar
    -0.67
    IELD
    -0.65
    GROUND
    -0.65
    Cru
    -0.65
     Cavaliers
    -0.64
     Cruise
    -0.63
     absentee
    -0.63
    POSITIVE LOGITS
    ml
    1.34
    icka
    1.04
    wagen
    1.03
    ophon
    1.00
    vl
    0.99
     ml
    0.97
    aden
    0.96
    istries
    0.91
    anguage
    0.91
    ister
    0.91
    Activations Density 0.005%

    No Known Activations