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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. 12-RES-JB
    11. 4842
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    Explanations

    hash tags

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    hashtags

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     commission
    -0.80
     cler
    -0.74
     convers
    -0.72
     commissions
    -0.70
     disturbed
    -0.68
     gest
    -0.67
     furthe
    -0.67
     retired
    -0.66
     late
    -0.65
     sund
    -0.64
    POSITIVE LOGITS
    ################################
    1.41
    DIV
    1.35
    define
    1.30
    Gamer
    1.29
    VALUE
    1.25
    ################
    1.24
    include
    1.23
    !/
    1.21
    REF
    1.21
    NAME
    1.15
    Activations Density 0.030%

    No Known Activations