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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. 16975
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    Explanations

    comparisons involving larger quantities or sizes

    oai_token-act-pair · gpt-3.5-turbo

    elements related to measurement and comparison

    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
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    No Comments

    Negative Logits
     Command
    -0.63
    algia
    -0.60
     vast
    -0.58
    igham
    -0.58
    haar
    -0.56
     Gleaming
    -0.55
     discord
    -0.53
     nutshell
    -0.53
    xtap
    -0.53
    tiny
    -0.53
    POSITIVE LOGITS
    than
    1.99
     than
    1.84
     Than
    1.38
    models
    0.74
    deals
    0.67
    ãĤ®
    0.67
    ":"/
    0.65
     wiser
    0.65
     arrang
    0.64
     prevail
    0.63
    Activations Density 0.336%

    No Known Activations