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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. 3788
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    INDEX
    Explanations

    mentions of "pixel" or concepts related to pixels

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pixel art and resolution

    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
    OME
    -0.77
    kson
    -0.77
    jri
    -0.77
    UNE
    -0.74
    urst
    -0.73
    shore
    -0.73
    ornia
    -0.73
    unes
    -0.67
    sers
    -0.66
    APS
    -0.66
    POSITIVE LOGITS
    ated
    0.88
    agraph
    0.82
     shader
    0.80
    ixels
    0.77
     pixel
    0.72
     pixels
    0.70
    ounce
    0.70
    rendered
    0.68
    ation
    0.68
    igans
    0.67
    Activations Density 0.020%

    No Known Activations