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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17800
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    Explanations

    phrases related to intense actions or emotional states

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to be" in various conjugations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Luther
    -0.78
     Cosponsors
    -0.70
    rition
    -0.69
    enegger
    -0.68
     Annotations
    -0.64
     FD
    -0.63
     Holocaust
    -0.63
    ropolitan
    -0.62
     Feld
    -0.61
    NEY
    -0.61
    POSITIVE LOGITS
    veland
    1.16
     wa
    0.99
    vel
    0.97
    iving
    0.94
    aaa
    0.94
    aaaa
    0.93
    ver
    0.92
    ccess
    0.91
    ike
    0.90
    isted
    0.88
    Activations Density 0.016%

    No Known Activations