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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. 23553
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    Explanations

    phrases introducing examples or comparisons

    oai_token-act-pair · gpt-3.5-turbo

    phrases introducing examples or categories

    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
    thal
    -0.72
     millenn
    -0.70
     proble
    -0.69
    bably
    -0.67
    ibilities
    -0.66
    orate
    -0.65
    istically
    -0.64
     conflic
    -0.63
    istical
    -0.62
    ittal
    -0.62
    POSITIVE LOGITS
     ours
    0.86
    unts
    0.81
    lihood
    0.78
     those
    0.73
    those
    0.72
    çĶ°
    0.68
     Graves
    0.67
    ounter
    0.65
     myself
    0.64
     Ray
    0.63
    Activations Density 0.069%

    No Known Activations