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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. 9345
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    INDEX
    Explanations

    references to cameras or actions related to cameras

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 'camera' in various contexts

    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
    emonic
    -0.91
    heit
    -0.74
    itionally
    -0.71
    ensical
    -0.70
    hend
    -0.69
    pend
    -0.69
    omething
    -0.69
    querque
    -0.67
    tions
    -0.67
    dict
    -0.66
    POSITIVE LOGITS
     Camer
    1.06
     cameras
    1.01
     microphones
    0.96
     shutter
    0.92
     camera
    0.91
    Lens
    0.89
     lens
    0.89
     pans
    0.85
     Operator
    0.83
     footage
    0.81
    Activations Density 0.023%

    No Known Activations