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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. 3-RES-JB
    11. 563
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ter" or variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ï¸
    -0.70
    ¬¼
    -0.66
     disparate
    -0.65
     Palestin
    -0.65
    Ĥ¬
    -0.65
    uncture
    -0.63
    Ĭ±
    -0.63
    ELS
    -0.62
     precaution
    -0.62
     Pace
    -0.61
    POSITIVE LOGITS
    geist
    1.22
    ranean
    1.13
    rors
    1.05
    rible
    0.98
    rane
    0.97
    tainment
    0.89
    brate
    0.89
    brates
    0.84
    restrial
    0.84
    ribly
    0.83
    Activations Density 0.016%

    No Known Activations