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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. 6036
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    Explanations

    proper nouns related to various historical figures and entities

    oai_token-act-pair · gpt-3.5-turbo

    unique character sequences or unusual terms within the text

    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
    vantage
    -0.73
     temptation
    -0.70
     Pax
    -0.69
     VIDE
    -0.63
    itud
    -0.63
    Native
    -0.63
    ritional
    -0.63
     Leap
    -0.62
    izont
    -0.62
    ricular
    -0.62
    POSITIVE LOGITS
    ÅĤ
    1.04
    Ñı
    0.78
    vous
    0.78
    Å
    0.76
    gang
    0.74
    ÅŁ
    0.74
    о
    0.72
    ho
    0.71
    theless
    0.71
    onne
    0.70
    Activations Density 0.006%

    No Known Activations