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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. 4-RES-JB
    11. 815
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    Explanations

    terms related to subatomic particles, specifically focusing on neutrons

    oai_token-act-pair · gpt-3.5-turbo

    references to neutrons and experimental contexts involving them

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

    No Comments

    Negative Logits
     Dragonbound
    -0.81
    Accessory
    -0.81
    DragonMagazine
    -0.80
    tyard
    -0.77
    ansas
    -0.75
    uyomi
    -0.74
    HCR
    -0.73
    Standing
    -0.72
    Attempts
    -0.71
    dress
    -0.71
    POSITIVE LOGITS
     neut
    1.16
    rals
    1.09
    eral
    0.82
    aval
    0.80
    rons
    0.80
     ray
    0.79
    ers
    0.78
    ucl
    0.77
    roid
    0.77
    inite
    0.76
    Activations Density 0.011%

    No Known Activations