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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. 12382
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    Explanations

    names of various individuals, possibly with a focus on last names starting with "B" and "L."

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    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
    ESE
    -0.83
    ä¸ī
    -0.79
    ãĥ¼ãĥĨ
    -0.76
    etheless
    -0.74
     silence
    -0.70
     confir
    -0.69
     cov
    -0.66
    successfully
    -0.66
    viously
    -0.63
    è»
    -0.63
    POSITIVE LOGITS
    oslav
    0.89
    elia
    0.81
    Hub
    0.80
    rov
    0.79
    Shot
    0.77
    galitarian
    0.76
    wick
    0.76
    finger
    0.75
    haus
    0.75
    enh
    0.75
    Activations Density 0.050%

    No Known Activations