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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. 3-RES-JB
    11. 13617
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    Explanations

    phrases related to pixel-related technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pixel density and resolution in digital images

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    shore
    -0.79
    OME
    -0.74
    urst
    -0.72
    avanaugh
    -0.71
    doms
    -0.71
    etheus
    -0.70
    UD
    -0.69
    IFE
    -0.68
    redo
    -0.68
    inav
    -0.68
    POSITIVE LOGITS
     pixel
    0.91
    ixels
    0.89
     shader
    0.86
     pixels
    0.86
    ated
    0.82
    agraph
    0.76
    Pixel
    0.76
    abel
    0.74
     Noct
    0.73
    abyte
    0.72
    Activations Density 0.013%

    No Known Activations