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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. 10-RES-JB
    11. 23272
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    Explanations

    phrases indicating that something is important or worthy of attention

    oai_token-act-pair · gpt-3.5-turbo

    expressions that indicate the significance or value of information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thumbnails
    -0.76
    icken
    -0.66
    gdala
    -0.63
    rete
    -0.63
    ieve
    -0.62
    aughtered
    -0.60
     Passenger
    -0.60
    eteria
    -0.59
     Gazette
    -0.59
    ode
    -0.59
    POSITIVE LOGITS
     mentioning
    1.54
     noting
    1.48
     remembering
    1.32
     noticing
    1.17
     reiter
    1.16
     revis
    1.15
     reminding
    1.13
     repeating
    1.09
     emphasizing
    1.08
     pointing
    1.07
    Activations Density 0.028%

    No Known Activations