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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. 3963
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    Explanations

    phrases expressing warm emotions or nostalgia

    oai_token-act-pair · gpt-3.5-turbo

    expressions of fondness or nostalgia

    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
    ulhu
    -0.73
    FT
    -0.63
    aminer
    -0.62
    ©¶æ
    -0.62
    irrel
    -0.60
    pta
    -0.60
    asar
    -0.59
    OUT
    -0.57
     transitional
    -0.57
    iphate
    -0.57
    POSITIVE LOGITS
     fond
    1.11
     memories
    1.07
     remem
    0.99
    rish
    0.92
    liest
    0.92
     Memories
    0.89
    ties
    0.88
    iously
    0.88
    entimes
    0.87
    rets
    0.87
    Activations Density 0.054%

    No Known Activations