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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    mentions of the city "Brest"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Bre" and its variations, indicating a focus on specific places or names related to "Bre."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iating
    -0.78
    ONES
    -0.72
     Fired
    -0.72
    iated
    -0.69
    å°Ĩ
    -0.68
     sidx
    -0.68
     Ukrain
    -0.64
    iates
    -0.64
     guiActiveUnfocused
    -0.63
     roadside
    -0.63
    POSITIVE LOGITS
    thren
    1.14
    akers
    1.06
    aks
    1.06
    aches
    0.98
    lyn
    0.98
    acher
    0.96
    aker
    0.96
    cker
    0.96
    bre
    0.96
    chet
    0.96
    Activations Density 0.005%

    No Known Activations