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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
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    Explanations

    terms related to serving or being served

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "serve" or related concepts of service

    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
     hous
    -0.60
    Bloom
    -0.60
     threaded
    -0.60
    sonian
    -0.59
     bang
    -0.58
    iggurat
    -0.57
     wig
    -0.57
     procedural
    -0.56
     structured
    -0.56
     outlandish
    -0.56
    POSITIVE LOGITS
    erve
    1.06
    erves
    0.94
    erved
    0.90
    rl
    0.83
    ierrez
    0.82
    llan
    0.81
    dinand
    0.79
    asus
    0.78
     Reserve
    0.77
    lig
    0.74
    Activations Density 0.014%

    No Known Activations