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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. 17253
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    Explanations

    the name "Nat" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the term "Nat" in various contexts, indicating a focus on a specific subject or entity

    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
    wordpress
    -0.69
     upon
    -0.68
     lengths
    -0.66
     highs
    -0.66
     ceilings
    -0.66
     bearer
    -0.65
     margins
    -0.64
     contraceptives
    -0.62
     margin
    -0.61
     difficulty
    -0.61
    POSITIVE LOGITS
    acha
    1.19
    asha
    1.13
    alia
    1.11
    ivities
    1.11
    ivity
    1.06
    anyahu
    1.04
    ivid
    1.02
    ured
    0.99
    ivist
    0.99
    ür
    0.98
    Activations Density 0.033%

    No Known Activations