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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. 9-RES-JB
    11. 10121
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    INDEX
    Explanations

    instances where characters are staring or looking at something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe visual attention or focused observation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eno
    -0.82
    Claim
    -0.76
    buster
    -0.67
    GV
    -0.66
    construct
    -0.65
    Fact
    -0.63
    wcs
    -0.63
    Topic
    -0.62
     lobbied
    -0.62
    ItemImage
    -0.62
    POSITIVE LOGITS
     passers
    0.96
     camera
    0.87
     screens
    0.85
     sunrise
    0.84
     scoreboard
    0.83
     horizon
    0.83
     blank
    0.82
     cameras
    0.82
     screen
    0.78
    screen
    0.78
    Activations Density 0.167%

    No Known Activations