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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. 10-RES-JB
    11. 7046
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    INDEX
    Explanations

    visual-related terms or concepts, particularly focusing on eye-related descriptions

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing visual perception or imagery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bundy
    -0.74
    idy
    -0.74
    imens
    -0.71
    icum
    -0.70
    halla
    -0.70
     ACPI
    -0.67
    edom
    -0.65
     congr
    -0.65
    theless
    -0.65
     Vide
    -0.65
    POSITIVE LOGITS
     sockets
    1.05
     lobe
    0.92
     socket
    0.91
    beam
    0.90
     gaze
    0.86
     candy
    0.85
    ight
    0.85
    holes
    0.84
     brow
    0.82
    ewitness
    0.81
    Activations Density 0.027%

    No Known Activations