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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. 3-RES-JB
    11. 5554
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    Explanations

    keywords related to construction or building structures

    oai_token-act-pair · gpt-3.5-turbo

    references to structural elements and materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    seys
    -0.76
    ership
    -0.74
    ophe
    -0.71
    ahime
    -0.69
    byss
    -0.67
     Newport
    -0.66
     Siberia
    -0.66
    mouth
    -0.65
    daq
    -0.65
     Borough
    -0.65
    POSITIVE LOGITS
     centrif
    1.31
    ugal
    0.78
    uge
    0.78
    maid
    0.76
    inen
    0.70
    emis
    0.69
    ringe
    0.67
     sclerosis
    0.66
     nurs
    0.66
     clearance
    0.65
    Activations Density 0.020%

    No Known Activations