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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. 1-RES-JB
    11. 12050
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    Explanations

    words related to the concept of 'economizing'

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms of economic or systemic 'ization' processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inness
    -0.66
     ABE
    -0.66
     pric
    -0.65
    ãģ®å®
    -0.64
     NCT
    -0.63
    ãģ®éŃĶ
    -0.62
     Scor
    -0.62
     fu
    -0.60
     shaved
    -0.58
     forthcoming
    -0.58
    POSITIVE LOGITS
    ize
    0.74
    imore
    0.69
    ouver
    0.69
    ean
    0.69
    eus
    0.67
    isen
    0.65
    ahead
    0.65
    rill
    0.65
    own
    0.64
    cast
    0.64
    Activations Density 0.032%

    No Known Activations