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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. 17319
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    Explanations

    codes and technical information related to data management

    oai_token-act-pair · gpt-3.5-turbo

    programming-related syntax and code structure

    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
    atform
    -0.92
    kinson
    -0.83
    ulhu
    -0.78
    lehem
    -0.76
    esis
    -0.75
     Ago
    -0.73
     Carbuncle
    -0.73
    osate
    -0.73
    sburgh
    -0.72
     Sadd
    -0.71
    POSITIVE LOGITS
    pret
    1.04
    taboola
    1.04
    blank
    0.93
    dict
    0.93
    delay
    0.92
    default
    0.92
    dep
    0.85
    SOURCE
    0.84
    chance
    0.83
    self
    0.83
    Activations Density 0.013%

    No Known Activations