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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. 6-RES-JB
    11. 4250
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    Explanations

    proper nouns related to various entities or people named "Se" at different activation levels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Se."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.77
     diplom
    -0.73
    £ı
    -0.71
     banter
    -0.69
     hoops
    -0.68
     CPC
    -0.67
     scales
    -0.66
    uracy
    -0.66
    iants
    -0.66
    70710
    -0.64
    POSITIVE LOGITS
    eker
    1.36
    vere
    1.26
    ldom
    1.21
    asons
    1.17
    gments
    1.10
    infeld
    1.09
    vent
    1.06
    clusion
    1.05
    venth
    1.05
    vered
    1.05
    Activations Density 0.016%

    No Known Activations