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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. 7-RES-JB
    11. 3668
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    Explanations

    references to screen resolutions, particularly focusing on 1080p resolution

    oai_token-act-pair · gpt-3.5-turbo

    numeric identifiers related to display resolutions and graphics cards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leton
    -0.76
    uana
    -0.76
    glers
    -0.69
    stood
    -0.68
    ourke
    -0.67
    lig
    -0.66
     synd
    -0.66
    dinand
    -0.65
    omas
    -0.65
    achi
    -0.65
    POSITIVE LOGITS
     ILCS
    1.19
    px
    0.87
     pixels
    0.82
    eenth
    0.82
    bps
    0.82
    éĹĺ
    0.81
    1080
    0.79
     CLIENT
    0.78
    ĺħ
    0.78
     CTR
    0.77
    Activations Density 0.021%

    No Known Activations