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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. 9-RES-JB
    11. 5130
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    Explanations

    references to the name "Bern" or variations of it

    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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     clipboard
    -0.72
    llan
    -0.68
    lihood
    -0.66
    DNA
    -0.63
    holders
    -0.63
    ------------------------------------------------
    -0.63
     escalation
    -0.62
     eru
    -0.60
     moon
    -0.59
    xual
    -0.58
    POSITIVE LOGITS
    anke
    1.58
    ardo
    1.12
    hard
    1.07
    aby
    1.03
    etta
    1.02
    hart
    0.98
    ier
    0.97
    hardt
    0.96
    abe
    0.91
    ayan
    0.91
    Activations Density 0.034%

    No Known Activations