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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. 13662
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    Explanations

    words related to physical pain and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    words related to complex or intricate structures

    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
    places
    -0.64
     Gret
    -0.64
    glers
    -0.64
    gaard
    -0.63
    onyms
    -0.63
     architects
    -0.62
    Adds
    -0.60
     dogs
    -0.60
    zag
    -0.60
     Romans
    -0.58
    POSITIVE LOGITS
    ophen
    0.88
    Sensor
    0.79
    pillar
    0.76
    ioxide
    0.75
    OSS
    0.75
    ÃĽ
    0.74
    eta
    0.74
     Moroc
    0.72
     Pwr
    0.72
    ccording
    0.71
    Activations Density 0.117%

    No Known Activations