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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. 2-RES-JB
    11. 13902
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    Explanations

    words related to financial matters, specifically concerning recovering costs or profits

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions involving food and reproduction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */
    -0.80
    ###
    -0.78
    ########
    -0.75
    ####
    -0.67
    §
    -0.67
    ##
    -0.64
    âĸĦ
    -0.63
     Gemini
    -0.62
    ################################
    -0.61
    ************
    -0.61
    POSITIVE LOGITS
    oup
    1.26
    dates
    0.97
    osit
    0.90
    OUP
    0.87
    itives
    0.87
    atre
    0.85
    xual
    0.81
    issance
    0.81
    hens
    0.79
    olitan
    0.79
    Activations Density 0.010%

    No Known Activations