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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. 4993
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    Explanations

    phrases related to actions or events driven by external circumstances

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "they" used in various contexts

    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
    vine
    -0.79
     Vietnamese
    -0.76
     Cliff
    -0.71
    ³³³³
    -0.67
     Dive
    -0.65
    geries
    -0.64
     Pats
    -0.64
     Claire
    -0.64
     Craw
    -0.63
     Nin
    -0.62
    POSITIVE LOGITS
     own
    0.99
     encount
    0.82
    ascript
    0.82
     deems
    0.82
    self
    0.81
     redes
    0.79
     frequ
    0.78
     respective
    0.78
    areth
    0.77
     OWN
    0.75
    Activations Density 0.144%

    No Known Activations