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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. 6-RES-JB
    11. 1679
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    Explanations

    verbs related to cutting or destroying

    oai_token-act-pair · gpt-3.5-turbo

    words related to significant changes or reductions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.80
    wcsstore
    -0.70
    Craft
    -0.67
    Recommend
    -0.67
    Import
    -0.66
    ãĤ´ãĥ³
    -0.65
    Streamer
    -0.65
    Fact
    -0.64
    Activity
    -0.63
    ellation
    -0.63
    POSITIVE LOGITS
     throats
    0.95
     unsuspecting
    0.86
     hordes
    0.82
     away
    0.78
     nails
    0.74
     carc
    0.74
    Ń·
    0.73
     down
    0.73
     piles
    0.71
     foes
    0.70
    Activations Density 0.410%

    No Known Activations