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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. 6180
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    Explanations

    phrases related to encountering or encountering problems

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to movement or transition

    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
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.74
    tymology
    -0.70
     PRES
    -0.70
    £ı
    -0.70
    phia
    -0.69
    iates
    -0.68
    iple
    -0.68
    angible
    -0.67
    abuse
    -0.65
    present
    -0.64
    POSITIVE LOGITS
    BuyableInstoreAndOnline
    0.79
     corrid
    0.67
     ladder
    0.67
     stall
    0.66
     tails
    0.66
     plank
    0.64
     Polk
    0.64
     interstate
    0.62
     stairs
    0.62
     hog
    0.62
    Activations Density 0.249%

    No Known Activations