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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. 2-RES-JB
    11. 23074
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    Explanations

    numbers with a specific value

    oai_token-act-pair · gpt-3.5-turbo

    the number "65" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesday
    -0.81
    ascus
    -0.79
    mble
    -0.77
    uyomi
    -0.73
    yout
    -0.72
    yang
    -0.71
    senal
    -0.71
    ebus
    -0.71
    iya
    -0.70
     tension
    -0.70
    POSITIVE LOGITS
     ILCS
    1.59
    328
    1.05
    65
    0.98
    67
    0.91
    625
    0.89
    467
    0.89
    765
    0.84
    66
    0.84
    XX
    0.83
    630
    0.83
    Activations Density 0.023%

    No Known Activations