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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. 4-RES-JB
    11. 24059
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    Explanations

    phrases related to a sequence of events or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the concept of a "run of bad luck" or problematic situations

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

    No Comments

    Negative Logits
     srfAttach
    -0.73
    ashtra
    -0.72
    utic
    -0.66
    Shape
    -0.65
    iple
    -0.63
    ESA
    -0.62
    auga
    -0.62
     Kislyak
    -0.62
    onso
    -0.61
    gdala
    -0.61
    POSITIVE LOGITS
    ikuman
    0.86
     enthusi
    0.75
     ladder
    0.70
     mirrors
    0.70
     stalls
    0.69
     tong
    0.69
     corrid
    0.67
     stall
    0.66
     paras
    0.63
     Rampage
    0.62
    Activations Density 0.098%

    No Known Activations