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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. 3-RES-JB
    11. 3117
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    Explanations

    references to the city of Venice, particularly the name "Ven."

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Ven" and its variations, indicating a focus on names or terms related to Venice

    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
     actionGroup
    -0.87
    intosh
    -0.83
    dash
    -0.76
    ARR
    -0.75
    matically
    -0.72
    ARC
    -0.70
    VALUE
    -0.69
     Clarkson
    -0.68
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.66
    è¦ļéĨĴ
    -0.66
    POSITIVE LOGITS
    Ven
    0.97
     Ven
    0.95
    apore
    0.84
    ison
    0.83
    itiz
    0.80
    ues
    0.80
    ue
    0.75
    emia
    0.75
    eto
    0.74
    ables
    0.74
    Activations Density 0.007%

    No Known Activations