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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. 4-RES-JB
    11. 9273
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    Explanations

    adjectives followed by the word "large"

    oai_token-act-pair · gpt-3.5-turbo

    references to large-scale concepts or phenomena

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

    No Comments

    Negative Logits
    rique
    -0.74
    mony
    -0.71
    ãĤ¡
    -0.70
    issance
    -0.69
    nyder
    -0.66
     Protocol
    -0.66
    ctive
    -0.65
    otiation
    -0.64
     certs
    -0.61
    Pal
    -0.61
    POSITIVE LOGITS
     bulky
    0.82
     diameter
    0.78
     conglomer
    0.77
     stature
    0.77
     lumber
    0.76
     contiguous
    0.74
     horizontally
    0.74
     vertically
    0.74
    angular
    0.73
     è£ıè
    0.73
    Activations Density 0.220%

    No Known Activations