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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. 10-RES-JB
    11. 6320
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    Explanations

    terms related to natural disasters and their impacts

    oai_token-act-pair · gpt-3.5-turbo

    references to natural disasters and related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elf
    -0.64
    acket
    -0.62
     Parables
    -0.61
     Kore
    -0.61
     Mandatory
    -0.60
    ammy
    -0.59
    ploma
    -0.57
    /-
    -0.57
    iosyncr
    -0.57
     Airl
    -0.56
    POSITIVE LOGITS
    istic
    1.25
    istically
    1.11
     disasters
    1.06
    izations
    1.01
    ized
    1.00
    ization
    0.94
    ised
    0.91
    izing
    0.88
    izes
    0.88
    isation
    0.88
    Activations Density 0.034%

    No Known Activations