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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. 12821
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    INDEX
    Explanations

    phrases containing the word 'that' followed by describing actions or qualities

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ione
    -0.74
    iox
    -0.71
    uku
    -0.67
    iol
    -0.67
    ayan
    -0.65
    -.
    -0.64
    istant
    -0.64
    ilion
    -0.64
    imilar
    -0.64
    »
    -0.63
    POSITIVE LOGITS
     distinguishes
    1.13
     mattered
    1.08
     determines
    1.02
     inspires
    1.02
     motiv
    1.00
     attracts
    0.99
     counts
    0.98
     matters
    0.98
     dominates
    0.97
     bothers
    0.97
    Activations Density 0.142%

    No Known Activations