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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. 6-RES-JB
    11. 20530
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    Explanations

    references to the name "Heinrich" with varying degrees of relevance

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "rich" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istically
    -0.87
    ality
    -0.74
    ogue
    -0.65
    ilar
    -0.65
    zees
    -0.64
    itized
    -0.62
     Kinnikuman
    -0.61
    zac
    -0.61
    obo
    -0.61
    RL
    -0.61
    POSITIVE LOGITS
    ARDS
    1.05
    ARD
    0.98
    sburg
    0.89
    ards
    0.84
    spr
    0.82
    sburgh
    0.79
    aceous
    0.77
    wine
    0.75
    nesses
    0.72
    kamp
    0.71
    Activations Density 0.028%

    No Known Activations