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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. 316
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    Explanations

    names or terms starting with "Ja" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the name "Ja" in various contexts

    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
    âĶģ
    -0.91
    姫
    -0.79
    ancial
    -0.73
    Interstitial
    -0.72
    IFIED
    -0.72
    天
    -0.71
    ships
    -0.71
    ship
    -0.70
    liness
    -0.70
    rats
    -0.69
    POSITIVE LOGITS
    quet
    0.98
    ques
    0.96
    quez
    0.86
    ¶ħ
    0.80
    oust
    0.79
    vel
    0.77
    ignt
    0.77
    keyes
    0.73
    jas
    0.72
    quit
    0.72
    Activations Density 0.005%

    No Known Activations