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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. 1-RES-JB
    11. 18717
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    Explanations

    words related to a specific person's name or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly focusing on repeated mentions of certain persons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĨ
    -0.80
    Child
    -0.79
    ãĥ¤
    -0.76
    pmwiki
    -0.74
    ements
    -0.73
    liest
    -0.72
    liness
    -0.72
    ãĥ³ãĤ¸
    -0.69
    ãĥ¼ãĥĨ
    -0.68
    toggle
    -0.68
    POSITIVE LOGITS
     Cah
    1.05
    okin
    0.78
     Dixon
    0.76
    okia
    0.70
     Ok
    0.69
     Scha
    0.68
     Diaz
    0.66
    uth
    0.66
    atform
    0.66
     Hoffman
    0.65
    Activations Density 0.016%

    No Known Activations