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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. 11-RES-JB
    11. 24162
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    Explanations

    words related to specific names, titles, and terms such as "Putin" and "colonization."

    oai_token-act-pair · gpt-3.5-turbo

    references to historical and cultural subjects, particularly relating to governance, societal dynamics, and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¢ãĥ«
    -0.59
     unfocusedRange
    -0.58
    quickShipAvailable
    -0.58
    ?ãĢį
    -0.57
    ãĢı
    -0.57
    OULD
    -0.54
    inventoryQuantity
    -0.54
    ãĥ¼ãĥĨãĤ£
    -0.54
    bernatorial
    -0.53
    "))
    -0.52
    POSITIVE LOGITS
     ("
    0.96
    ;
    0.93
     and
    0.92
     whereas
    0.90
    .
    0.88
     etc
    0.88
    .[
    0.87
    .;
    0.86
     versus
    0.86
     ().
    0.81
    Activations Density 0.621%

    No Known Activations