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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. 5013
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    Explanations

    expressions related to financial numbers or statistics

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data and numerical information

    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
    nsics
    -0.57
    azeera
    -0.51
    }.
    -0.50
    ibe
    -0.48
    fal
    -0.48
    parency
    -0.46
     dare
    -0.45
    arma
    -0.45
    yt
    -0.45
    })
    -0.44
    POSITIVE LOGITS
     approximately
    0.65
     "...
    0.59
     "âĢ¦
    0.56
     primarily
    0.55
     uncond
    0.54
     principally
    0.53
     ..............
    0.53
     seventy
    0.52
     sixty
    0.52
     âī
    0.51
    Activations Density 1.558%

    No Known Activations