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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. 15338
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    Explanations

    personal experiences, thoughts, or emotional reactions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal feelings and experiences

    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
     Equality
    -0.77
     tide
    -0.64
     Pric
    -0.64
     Towns
    -0.60
    roup
    -0.60
     Centers
    -0.60
    profits
    -0.59
     tides
    -0.59
    itect
    -0.58
    edged
    -0.58
    POSITIVE LOGITS
    zzo
    1.13
     personally
    1.05
    adows
    1.03
    adow
    1.03
    imei
    1.00
    lees
    0.97
    andering
    0.91
    cca
    0.87
    zz
    0.77
    'm
    0.76
    Activations Density 0.096%

    No Known Activations