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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. 7-RES-JB
    11. 9757
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    INDEX
    Explanations

    photographs or images in a journalistic context

    oai_token-act-pair · gpt-3.5-turbo

    references to images and photographs in a publication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hap
    -0.79
    stood
    -0.75
    lest
    -0.70
     Spice
    -0.66
    laws
    -0.64
    band
    -0.64
    rift
    -0.63
    ult
    -0.62
    iod
    -0.62
    tein
    -0.61
    POSITIVE LOGITS
    ################################
    0.92
    Loading
    0.82
     Caption
    0.78
    Attach
    0.76
    galitarian
    0.72
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    0.71
    actionDate
    0.69
    picture
    0.69
    ################
    0.69
     =================================================================
    0.69
    Activations Density 0.070%

    No Known Activations