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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. 24377
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    oai_token-act-pair · gpt-3.5-turbo

    references to financial contributions and donations

    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
     Stru
    -0.66
    76561
    -0.65
     Nik
    -0.64
    MAT
    -0.63
     hairst
    -0.60
     experien
    -0.60
    Temperature
    -0.59
     diam
    -0.58
    MT
    -0.58
    Else
    -0.58
    POSITIVE LOGITS
     allocated
    1.00
     deposited
    0.98
     expended
    0.97
     allotted
    0.96
     donated
    0.92
     diverted
    0.90
     appropriated
    0.88
     proceeds
    0.85
     spent
    0.82
     invested
    0.82
    Activations Density 0.234%

    No Known Activations