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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the word "Ping" with varying activations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ping" and its variations, as well as related terms like "ding."

    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
    IFE
    -0.87
    ãĤ£
    -0.83
    ب
    -0.77
    IDER
    -0.77
    姫
    -0.75
    izations
    -0.73
    ENGTH
    -0.72
    IGHT
    -0.71
    ================================================================
    -0.71
    Ø©
    -0.70
    POSITIVE LOGITS
     Ping
    1.08
     ping
    1.07
    gment
    0.87
    alore
    0.85
     cooker
    0.84
    ping
    0.82
    ersen
    0.80
    hao
    0.80
    achi
    0.80
    atana
    0.80
    Activations Density 0.008%

    No Known Activations