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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. 4-RES-JB
    11. 14213
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    Explanations

    references to mortar in a military context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mort" and its variations

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

    No Comments

    Negative Logits
    Ô
    -0.75
     Founders
    -0.70
    çīĪ
    -0.65
    FFFF
    -0.63
    âĻ¥
    -0.61
    RAFT
    -0.60
    DragonMagazine
    -0.60
     coli
    -0.60
    Draft
    -0.60
     fluorescent
    -0.60
    POSITIVE LOGITS
    uary
    1.14
    ician
    1.08
    imer
    1.03
    ally
    0.99
    icia
    0.98
    grave
    0.97
    mort
    0.96
    heast
    0.91
    imore
    0.88
    agi
    0.87
    Activations Density 0.010%

    No Known Activations