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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. 0-RES-JB
    11. 1149
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    Explanations

    words related to a specific individual named "Sweilmer"

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "mer" or "mer-."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     blinking
    -0.62
     arenas
    -0.57
     concede
    -0.57
     blink
    -0.56
     Unic
    -0.56
     resists
    -0.56
     cylinders
    -0.56
     corridors
    -0.56
     ax
    -0.55
     Ro
    -0.55
    POSITIVE LOGITS
    mer
    4.53
    mers
    2.66
    MER
    2.41
    ming
    1.87
    med
    1.77
    Mer
    1.55
    meric
    1.35
     mer
    1.32
    der
    1.32
    ms
    1.32
    Activations Density 0.011%

    No Known Activations