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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. 16961
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    Explanations

    words related to specific physical characteristics or features of objects

    oai_token-act-pair · gpt-3.5-turbo

    words related to artistic or decorative elements

    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
    quickShipAvailable
    -0.75
     Leap
    -0.74
     hackers
    -0.72
     disinformation
    -0.72
     Dominion
    -0.72
     misinformation
    -0.71
     Sponsor
    -0.70
    SPONSORED
    -0.69
    channelAvailability
    -0.68
     proactive
    -0.67
    POSITIVE LOGITS
    anse
    1.11
    angled
    1.00
    aret
    0.99
    aft
    0.98
    iper
    0.96
    ilt
    0.96
    angles
    0.96
    otted
    0.94
    arf
    0.94
    ippers
    0.92
    Activations Density 0.297%

    No Known Activations