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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. 9-RES-JB
    11. 4946
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    Explanations

    phrases related to bringing something to life

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to bringing things into existence or making them tangible

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anus
    -0.65
    arij
    -0.65
    xs
    -0.61
     discontinued
    -0.60
    anche
    -0.59
    gee
    -0.59
     Caps
    -0.58
     Clover
    -0.58
    href
    -0.57
    eq
    -0.57
    POSITIVE LOGITS
    displayText
    0.70
     electronically
    0.70
     anew
    0.70
    heet
    0.69
     spontaneously
    0.68
    OHN
    0.66
     sooner
    0.65
    IFF
    0.65
    ODY
    0.65
    æ©
    0.64
    Activations Density 0.185%

    No Known Activations