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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. 8-RES-JB
    11. 8043
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    Explanations

    references to first encounters or experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to first experiences or encounters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iscal
    -0.74
    uckles
    -0.72
    urrent
    -0.70
    entimes
    -0.66
    inational
    -0.64
    ources
    -0.63
    ifications
    -0.63
    itual
    -0.63
    aintain
    -0.63
    GRE
    -0.63
    POSITIVE LOGITS
     SCP
    0.69
     Spectre
    0.65
     Alto
    0.63
     whiff
    0.63
     Seah
    0.62
     RTX
    0.59
     hostilities
    0.59
     Clover
    0.59
     Lash
    0.59
     incarnation
    0.58
    Activations Density 0.446%

    No Known Activations