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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. 4-RES-JB
    11. 6305
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    Explanations

    mentions of the word "Argon" or "Arg", perhaps indicating a focus on a specific topic or entity related to these terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the Argos or Argon in various contexts

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

    No Comments

    Negative Logits
    myra
    -0.90
    emetery
    -0.85
    cussion
    -0.79
    intendent
    -0.78
    ookie
    -0.77
    orld
    -0.77
    dropping
    -0.77
    idad
    -0.76
    arthy
    -0.74
    eper
    -0.72
    POSITIVE LOGITS
    uments
    0.96
    ument
    0.87
    ij
    0.73
    IVES
    0.73
    agan
    0.68
    ðĿ
    0.68
    anges
    0.68
     Arg
    0.67
    uing
    0.66
    ãĥ³ãĤ¸
    0.66
    Activations Density 0.034%

    No Known Activations