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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. 13640
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    Explanations

    the word "all" with high activation values, indicating a strong focus on inclusivity or totality

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the term "all" in various contexts

    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
     Caption
    -0.74
     Racer
    -0.68
     Provision
    -0.57
    abwe
    -0.57
     Zur
    -0.55
    SHIP
    -0.55
     Malf
    -0.55
     Heights
    -0.54
     Vend
    -0.53
     Kamp
    -0.52
    POSITIVE LOGITS
    usion
    1.21
    igator
    1.16
    uring
    1.15
    ure
    1.14
    usive
    1.02
    rounder
    0.99
    usions
    0.98
     encomp
    0.96
    iter
    0.96
    igators
    0.96
    Activations Density 0.036%

    No Known Activations