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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. 9-RES-JB
    11. 15778
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    Explanations

    words related to destruction and tearing apart

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to destruction and disintegration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.85
    cius
    -0.67
    ogo
    -0.66
    aird
    -0.64
    rolog
    -0.64
     Monitoring
    -0.64
    helps
    -0.63
     Advis
    -0.63
    venture
    -0.63
    saf
    -0.63
    POSITIVE LOGITS
     bones
    1.09
     carc
    1.08
     flesh
    1.06
     limbs
    1.05
     chunks
    1.03
     skulls
    1.03
     corpses
    1.01
     fragments
    0.98
     bricks
    0.97
     shards
    0.96
    Activations Density 0.311%

    No Known Activations