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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. 3-RES-JB
    11. 2783
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     laun
    -0.72
     destro
    -0.71
     concentrating
    -0.70
     oun
    -0.70
     dispose
    -0.67
     commissions
    -0.66
     Ortiz
    -0.66
     fishes
    -0.66
     Sylv
    -0.65
     transports
    -0.65
    POSITIVE LOGITS
    DIV
    1.23
    ################################
    1.18
    ###
    1.10
    ########
    1.07
    âĢİ
    1.01
    RFC
    1.01
    NB
    0.94
    ################
    0.92
    define
    0.92
    OWN
    0.91
    Activations Density 0.019%

    No Known Activations