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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. 11148
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    Explanations

    capital letters followed by numerical values or references

    oai_token-act-pair · gpt-3.5-turbo

    specific single-letter or two-letter acronyms and their associated values or ratings

    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
     Leilan
    -0.69
     Shak
    -0.67
    ģĸ
    -0.67
    jamin
    -0.66
     forestry
    -0.64
     âĵĺ
    -0.64
     Revel
    -0.64
     grounds
    -0.64
    lihood
    -0.64
     BaseType
    -0.63
    POSITIVE LOGITS
    Gs
    1.17
    Ps
    1.08
    Vs
    1.05
    FP
    1.03
    SI
    1.01
    GS
    1.00
    PP
    0.97
    Ms
    0.97
    DA
    0.96
    CE
    0.96
    Activations Density 0.249%

    No Known Activations