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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. 908
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    Explanations

    concluding events or phases within a story or narrative

    oai_token-act-pair · gpt-3.5-turbo

    terms related to conclusions and endings in narratives

    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
    uld
    -0.75
    mans
    -0.73
    asus
    -0.71
    bia
    -0.71
    croft
    -0.65
    bees
    -0.65
    uni
    -0.64
    ovi
    -0.64
    hee
    -0.63
    conservancy
    -0.63
    POSITIVE LOGITS
    bringer
    0.84
    blow
    0.83
     thereof
    0.82
    nings
    0.79
     thereto
    0.77
    ittal
    0.73
     Winn
    0.72
    ocrine
    0.71
    angering
    0.69
    isal
    0.68
    Activations Density 0.086%

    No Known Activations