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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. 8793
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    Explanations

    common elements or similarities between different subjects or groups

    oai_token-act-pair · gpt-3.5-turbo

    repeated uses of the prepositions "in" and "on"

    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
    =]
    -0.79
    Benz
    -0.76
    EPA
    -0.72
    DragonMagazine
    -0.69
    LESS
    -0.69
    HAEL
    -0.68
    lessly
    -0.68
    bol
    -0.66
    ctors
    -0.66
    orie
    -0.65
    POSITIVE LOGITS
     tow
    1.01
     sights
    0.85
    ked
    0.80
     spare
    0.75
     mind
    0.73
     grasp
    0.72
     ready
    0.72
     abundance
    0.71
     hand
    0.69
    built
    0.67
    Activations Density 0.280%

    No Known Activations