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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. 12148
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    Explanations

    references to the name "Bern"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Bern."

    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
     escalation
    -0.66
     clipboard
    -0.66
     hitch
    -0.64
     haste
    -0.64
    llan
    -0.62
     moon
    -0.61
     ACTION
    -0.59
     Bubble
    -0.58
    xual
    -0.58
    holders
    -0.58
    POSITIVE LOGITS
    anke
    1.56
    ardo
    1.29
    hard
    1.17
    hardt
    1.13
    aby
    1.05
    thal
    1.04
    ier
    1.03
    etta
    1.02
    abe
    1.01
    hart
    1.00
    Activations Density 0.023%

    No Known Activations