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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. 4350
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    Explanations

    words related to physical actions or forceful impact

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration or disappointment

    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
    ¿½
    -0.67
    vironment
    -0.63
    theless
    -0.59
    etus
    -0.59
    £ı
    -0.59
    ETHOD
    -0.57
    miah
    -0.55
    blance
    -0.55
     citiz
    -0.54
    emort
    -0.54
    POSITIVE LOGITS
    cs
    0.58
     bamboo
    0.56
    ï¸ı
    0.54
    adesh
    0.52
    itiveness
    0.52
    ĵĺ
    0.52
     yarn
    0.51
     trout
    0.51
    quit
    0.50
     chin
    0.49
    Activations Density 2.420%

    No Known Activations