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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. 4-RES-JB
    11. 4626
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    Explanations

    names of individuals or characters

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, specifically notable people or characters

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

    No Comments

    Negative Logits
    ModLoader
    -0.69
    acebook
    -0.59
    theless
    -0.58
    ruary
    -0.54
     suffice
    -0.53
     Fancy
    -0.53
    Mrs
    -0.53
     Madame
    -0.52
    Ms
    -0.50
    ãĤ¨ãĥ«
    -0.50
    POSITIVE LOGITS
    burn
    0.68
    linger
    0.64
    bard
    0.63
    erman
    0.63
    utsch
    0.63
    gaard
    0.61
    ham
    0.60
    mel
    0.60
    zen
    0.58
    zer
    0.57
    Activations Density 0.339%

    No Known Activations