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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. 7-RES-JB
    11. 11696
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    Explanations

    words related to extremism and ultimatums

    oai_token-act-pair · gpt-3.5-turbo

    words related to extreme conditions or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    steen
    -0.87
    çĦ
    -0.86
    velt
    -0.69
     Nanto
    -0.67
     Ples
    -0.62
     Became
    -0.60
     Cornel
    -0.59
    ãĢIJ
    -0.59
     Cork
    -0.58
    bane
    -0.58
    POSITIVE LOGITS
    aneous
    0.91
    ractor
    0.80
    racted
    0.79
    incial
    0.79
    ceptor
    0.78
    inarily
    0.77
    olic
    0.74
    ivid
    0.73
    llular
    0.72
    asonic
    0.71
    Activations Density 0.051%

    No Known Activations