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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. 2-RES-JB
    11. 6149
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    Explanations

    references to camera specifications, particularly focusing on the digital image sensor resolution

    oai_token-act-pair · gpt-3.5-turbo

    terms related to high-resolution digital imaging and camera specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.82
    iott
    -0.78
    pron
    -0.76
    akespeare
    -0.75
    aces
    -0.74
    kell
    -0.71
     segregation
    -0.70
    ugu
    -0.69
    ties
    -0.69
    ework
    -0.69
    POSITIVE LOGITS
    apixel
    1.37
     JPEG
    1.17
     Nikon
    1.04
     Images
    0.94
     photography
    0.94
     photographers
    0.94
    ographers
    0.92
    ographic
    0.92
     photographer
    0.91
     IMAGES
    0.90
    Activations Density 0.020%

    No Known Activations